The new holism: P4 systems medicine and the medicalization of health and life itself

Conceptual scaffolding for the philosophy of medicine

This paper consists of two parts. In the first part, I will introduce a philosophical toolbox that I call 'conceptual scaffolding,' which helps to reflect holistically on phenomena and concepts. I situate this framework within the landscape of conceptual analysis and conceptual engineering, exemplified by the debate about the concept of disease. Within the framework of conceptual scaffolding, I develop the main idea of the paper, which is 'the binocular model of plural medicine', a holistic framework for analyzing medical concepts and phenomena. In the second part, I demonstrate the use and value of the binocular model by analyzing, through the lenses of the model, the phenomenon of health wearable devices and their effects on the concept of diagnosis.

"My Biomarkers Are Fine, Thank You": On the Biomarkerization of Modern Medicine

Biomarkers are becoming crucial in ever more medical tasks and are proposed to change medicine in profound ways. By biomarking ever more attributes of human life, they tend to blur the distinction between health and disease and come to characterize life as such. Not only do biomarkers strongly influence the professional conception of disease by pervading ever more diagnoses, but they also impact patients' experience of illness. To manage how biomarkers influence patients, professionals, and societies, we urgently need to move from identifying potentially relevant biomarkers to determine their meaning and value to individuals, professionals, and public health.

The techno-politics of computing the mind: Opening the black box of digital psychiatry

Psychiatry has recently witnessed the launch of digital phenotyping as a new research agenda. According to digital phenotyping's hypothesis, data about a patient's daily behavior can be continuously collected through wearable monitoring devices and used to build software that would send warnings of mental relapse or would tailor treatment choices. The research is exploratory, and the claims upon which it is based are contentious. Drawing on interviews, we followed a research team that aspired to build a digital system that could send such warnings to patients with mental health disorders like depression and epilepsy. This enabled us to learn how a new instrument to measure mental function becomes constructed and what translations take place in this process. Here we pay particular attention to the role of patients as research collaborators. We observed the frictions and debates in the research team between different mental health knowledge regimes, seeing them before they were black-boxed and lost from sight. We aimed to understand how actors anticipate software and data analytics to function alongside physicians and patients, as well as how different accounts reconstitute the 'mental', 'therapy', or the 'social' itself. We discuss several 'dissociations' that occur along the research trajectory regarding: less motivated and underrepresented patients, the role of clinical knowledge derived from patient self-reporting, and the social, political, and economic aspects of a patient's life affecting mental health. In this sense, we want to open the black box of this new behavioral technoscience.

Precision medicine in primary care: How GPs envision "old" and "new" forms of personalization

Visions of precision or personalized medicine (PM) are gaining currency around the globe. While the potential of PM in specialist medicine has been in focus, primary care is also considered to be a fruitful area for the application of PM. "Low-tech" forms of personalization and attention to individual patients are already central features of primary care practice, and primary care thus constitutes an area in which "old" and "new" forms of personalization (may) come together. Against this backdrop, we explore general practitioners' (GPs) views on PM and how they envision the future of personalization in primary care. We draw on 45 qualitative interviews with GPs from Austria, Denmark, and the United States. Along the lines of major "promises" of PM-tailoring treatment decisions, improving disease prevention, empowering patients-we show that in some areas GPs consider PM to be a continuation or extension of existing practices of personalization, while in other cases, GPs envision that PM may negatively disrupt current forms of personalization in primary care. We suggest that this ambivalent stance towards PM can be understood through the lens of GPs' views on core values and practices of primary care.

Enablers and barriers to a quaternary prevention approach: a qualitative study of field experts

OBJECTIVE

There is a growing concern about the sustainability of healthcare and the impacts of 'overuse' on patients and systems. Quaternary prevention (P4), a concept promoting the protection of patients from medical interventions in which harms outweigh benefits, is well positioned to stimulate reflection and inspire solutions, yet has not been widely adopted. We sought to identify enablers and barriers to a P4 approach, according to field experts and advocates in one health system.

DESIGN

Qualitative methodology, using semistructured interviews and a grounded theory approach facilitated thematic analysis and development of a conceptual model.

SETTING

Virtual interviews, conducted in British Columbia, Canada.

PARTICIPANTS

12 field experts, recruited based on their interest and work related to P4 and related concepts.

RESULTS

Four factors were seen as promoting or hindering P4 efforts depending on context: relationship between patient and clinician, education of clinicians and the public, health system design and influencers. We extracted four broad enablers of P4: evidence-based medicine, personal experiences and questioning attitude, public P4 campaigns and experience in resource-poor contexts. There were six barriers: peer pressure between clinicians, awareness and screening campaigns, cognitive biases, cultural factors, complexity of the problem and industry influence.

CONCLUSIONS

Elicited facilitators and impediments to the application of P4 were similar to those seen in existing literature but framed uniquely; our findings place increased emphasis on the clinician-patient relationship as central to decision-making and position other drivers as influencing this relationship. A transition to a model of care that explicitly integrates conscious protection of patients by reducing overtesting, overdiagnosis and overtreatment will require changes across health systems and society.

Precision public health in the making: examining the becoming of the "social" in a Swiss environmental health population-based cohort

Expanding the concept of "precision" or "personalized" medicine, personalized health and precision public health designate the use of various kinds of data-genomic, other omics, clinical, or those produced by individuals themselves through self-tracking-to optimize health interventions benefiting the whole population. This paper draws on an ethnography of the implementation of a population-based environmental health cohort to shed light on the reconfigurations brought about by the "personalization" of public health in Switzerland. Combining human biomonitoring and molecular epidemiology, this cohort aims to advance the science of the exposome, a notion referring to the totality of exposures to which individuals are subjected over their lifecourse. Addressing the tension between holism and reductionism, this paper points to the important gap between the promissory horizon of the exposome and the realities of practices. Situations of reductionism are defined as moments of friction and negotiation between different rationales and values, exposing what makes the science of the exposome, including its material, economic, institutional, and methodological constraints, as well as its imaginaries and values. Rather than opposing holism and reductionism, I emphasize that they constitute two sides of the same coin, as they both pragmatically enable action and produce situated versions of the social. This empirical case shows how reductionism operates at the chemical, biological, and populational levels to produce public health scientific and social values. It thus contributes to contextualizing the pragmatic and strategic choices made by scientists, as well as the values they favor, in a research environment marked by the predominance of biomedicine over public health. It shows how the reductionism of the "social environment" was made for a better social integration of the cohort into the Swiss political and scientific landscape of public health. Bringing together actors involved in public health and questions of environmental exposures, this cohort can be interpreted as a biomedicalization of public health research, as well as an attempt to socialize it through the broad category of the exposome.

The illusion of immediacy: on the need for human synchronization in data-intensive medicine

Medical practice is increasingly shaped by big data sets and less by patient narratives. Data-intensive medicine promises to directly connect the patients with the clinic. Instead of medical examinations taking place at bedside and discrete moments, sensor-based technologies continuously monitor a certain body parameter and automatically transfer the data via a telemedical system. Based on a qualitative study of remote cardiac monitoring, I explore how the uncoupling of processes that used to happen in one place, changes the way diagnosis is made. Using ethnographic observations and semi-structured interviews with patients and tele-nurses of two university hospitals in Switzerland, I describe remote cardiac monitoring as a data network. The perception of being constantly connected to the hospital resulted in a reassuring effect among patients and healthcare professionals. Moreover, the notion of an automatically synchronized data network led patients to expect immediate feedback from the hospital as soon as an irregularity was detected. However, it obscured the fact that although the inserted sensor monitors the heart around the clock, the data is transmitted only once a day, and the tele-nurses only work during office hours, from Monday to Friday. I call this misperception "illusion of immediacy". It takes time to accurately correlate and interpret a recorded episode with other types of data, such as the last hospital visit, comorbidities, and/or the actual situation in which the recording was made. Accordingly, tele-nurses and cardiologists play a central and privileged role in the data network. The findings highlight the importance of synchronizing the different temporalities that coexist in the patient remote monitoring data network in order to generate meaningful knowledge that ultimately leads to a diagnosis.

Hammer or Measuring Tape? Artificial Intelligence and Justice in Healthcare

Artificial intelligence (AI) is a powerful tool for several healthcare tasks. AI tools are suited to optimize predictive models in medicine. Ethical debates about AI's extension of the predictive power of medical models suggest a need to adapt core principles of medical ethics. This article demonstrates that a popular interpretation of the principle of justice in healthcare needs amendment given the effect of AI on decision-making. The procedural approach to justice, exemplified with Norman Daniels and James Sabin's accountability for reasonableness conception, needs amendment because, as research into algorithmic fairness shows, it is insufficiently sensitive to differential effects of seemingly just principles on different groups of people. The same line of research generates methods to quantify differential effects and make them amenable for correction. Thus, what is needed to improve the principle of justice is a combination of procedures for selecting just criteria and principles and the use of algorithmic tools to measure the real impact these criteria and principles have. In this article, the author shows that algorithmic tools do not merely raise issues of justice but can also be used in their mitigation by informing us about the real effects certain distributional principles and criteria would create.

Whole person assessment for family medicine: a systematic review

OBJECTIVES

To identify and evaluate clinical approaches to whole person assessment (WPA) that are translatable to family medicine regarding feasibility, quality and alignment with theoretical models of whole person care (WPC).

DESIGN

Systematic literature review.

DATA SOURCES

MEDLINE, CINAHL, PsycINFO and ATLA Religion databases were searched through 9 March 2020, with additional handsearches.

ELIGIBILITY CRITERIA

English language clinical assessments of multiple domains; which involve patient-clinician interaction and are translatable to general practice (GP); from the fields of medicine, allied health, nursing, mental health and pastoral care. Tools designed for single diseases or symptoms, for outcome rather than clinical assessment or with outdated classification systems were excluded.

DATA EXTRACTION AND SYNTHESIS

We appraised the quality of included papers using Johanna Briggs' Institute Checklists and Terwee's criteria for validation studies. Clinical assessments' alignment with theoretical WPC, feasibility for adaptation to GP and quality were examined. We analysed extracted data using framework synthesis.

RESULTS

Searches retrieved 7535 non-duplicate items. Fifty-nine were included after screening, describing 42 WPA methods and representing multiple disciplines, purposes and formats. All included assessments aligned partially with models of WPC, but most did not adequately encompass all aspects of WPC. Robustness varied significantly and was often inadequately described. We judged none of the identified assessments to be ideal as a multipurpose WPA in GP. Some could be used for specific purposes, such as elicitation of patient perspectives or complexity assessment.

CONCLUSIONS

While no WPAs were found that were sufficient for broad implementation in GP, some approaches may be suitable with adaptation and evaluation. Strengths of existing approaches could inform WPA development in future.

PROSPERO REGISTRATION NUMBER

CRD42020164417.

Direct-to-consumer laboratory testing (DTCT): challenges and implications for specialists in laboratory medicine

In vitro diagnostics (IVD) testing is a powerful tool for medical diagnosis, and patients' safety is guaranteed by a complex system of personnel qualification of the specialist in laboratory medicine, of process control, and legal restrictions in healthcare, most of them under national regulation. Direct-to-consumer laboratory testing (DTCT) is testing ordered by the consumer and performed either by the consumer at home or analysis of self-collected samples in a laboratory. However, since DTCT are not always subject to effective competent authority oversight, DTCT may pose risks to lay persons using and relying on it for healthcare decision-making. Laboratory medicine specialists should be very cautious when new DTCTs are introduced. As qualified professionals, they should feel obliged to warn and educate patients and the public about the risks of inappropriate and harmful DTCT.

Contributions of Hippocratic medicine and Plato to today's debate over health, social determinants and the authority of biomedicine

By exploring a competition for authority on health and human nature between Plato and Hippocratic medicine, this paper offers a fresh perspective on an overarching debate today involving health and the role of healthcare in its safeguarding. Economically and politically, healthcare continues to dominate the USA's handling of health, construed biophysically as the absence of disease. Yet, notoriously, in major health outcomes, the USA fares worse than other countries in the Organisation for Economic Co-operation and Development (OECD). Clearly, in giving pre-eminence to healthcare, the USA is doing far less than it could to protect and improve health. Meanwhile, mounting evidence supports the view that health impacts of social determinants besides healthcare (eg, education) surpass healthcare in heft. Circumscribed shifts in the USA's current frame will not suffice: what's needed is a change in its overall template for addressing health. Unless this is widely seen, the sway of biomedicine will likely be reduced slowly, if at all. That biomedicine's role in relation to health is raised increasingly as a question is a sign that its ongoing supremacy is not a forgone conclusion. But making the most of this opportunity requires appreciating that 'How should health's relationship to medicine be conceptualised?' is not the most fundamental query that we need to pose. Through consideration of Hippocratic medicine and Plato, I argue that the most availing answer to this particular question can come only after exploration of three larger questions involving health's status as a human good and its relationship to human flourishing. Exploration of the Greeks is, thus, valuable methodologically. What's more, it supports today's advocacy of 'health promotion', a perspective tying health closely to well-being that has yet to achieve the overall prominence that it warrants.

Possibilities and paradoxes in medicine: love of order, loveless order and the order of love

We have a desire to discover and create order, and our constitution, including our rational faculties, indicates that we are predisposed for such productivity. This affinity for order and the establishment of order is fundamental to humans and naturally also leaves its mark on the medical discipline. When this profession is made subject to criticism, frequently in terms of well-used reproofs such as reductionism, reification and de-humanisation, this systematising productivity is invariably involved in some way or other. It is, however, problematic that we rarely delve deeper and ask what order means, or reflect on its underlying, omnipresent and self-evident role. In order to approach this challenge, we initially and briefly place order in a conceptual and historical context. In what follows, we examine order explicitly, i.e. made an object of study, by taking a closer look at extensive multidisciplinary efforts to uncover the secrets of all its facets. Here we also try to identify some systems of order in medical science, including methodological and procedural order, which are indispensable as well as a source of problems. In the sections that follow, order is not defined as an explicit object of study, but comes to light in some exploratory and philosophising projects based on physics, mathematics and phenomenology . Each of these lets order and that which is ordered emerge in ways that may also shed light on opportunities and paradoxes in the medical domain. Key themes here include the Gordian knot of psyche - soma, the order of disorder and the patient as Other.

Direct-to-consumer detection of atrial fibrillation in a smartwatch electrocardiogram: Medical overuse, medicalisation and the experience of consumers

The Apple Watch Electrocardiogram (ECG) is a digital feature that detects signs of atrial fibrillation (AFib), a heart arrhythmia that can lead to stroke. Unlike AFib detection offered in a clinical setting to patients or those at higher risk, the Apple Watch ECG is a direct-to-consumer (DTC) product marketed to the healthy as a self-performed medical test. The feature is incorporated in the design as one of many applications in a multifunctional smartwatch. The Apple Watch ECG signals the movement of consumer wearables into the domain of medical devices, and the highly contested practice of AFib screening. This article examines how this technology produces new avenues for medical overuse among people who are unlikely to gain clinical benefit, and who as active consumers become medicalised via taking part in disease-specific monitoring. Interviews with Apple Watch ECG consumers suggest their strongly trust in the Apple brand is amplified by the promissory quality of screening and technical innovation. What would otherwise be a costly clinical procedure is condensed into an accessible function in a wearable device. Consequently, AFib screening loses its clinical purpose, and is instead refashioned into a component of healthy lifestyle behaviour. Repeat self-screening becomes 'bundled' with similar health monitoring practices routinised in consumer wearables. Active uptake supports a market for the product and adds to the reputation of the Apple brand such that consumers become complicit in legitimising a medical practice that has limited clinical justification.

Engaging Through Awareness: Purpose-Driven Framework Development to Evaluate and Develop Future Business Strategies With Exponential Technologies Toward Healthcare Democratization

Industry 4.0 and digital transformation will likely come with an era of changes for most manufacturers and tech industries, and even healthcare delivery will likely be affected. A few trends are already foreseeable such as an increased number of patients, advanced technologies, different health-related business models, increased costs, revised ethics, and regulatory procedures. Moreover, cybersecurity, digital invoices, price transparency, improving patient experience, management of big data, and the need for a revised education are challenges in response to digital transformation. Indeed, forward-looking innovation about exponential technologies and their effect on healthcare is now gaining momentum. Thus, we developed a framework, followed by an online survey, to investigate key areas, analyze and visualize future-oriented developments concerning technologies and innovative business models while attempting to translate visions into a strategy toward healthcare democratization. When forecasting the future of health in a short and long-term perspective, results showed that digital healthcare, data management, electronics, and sensors were the most common predictions, followed by artificial intelligence in clinical diagnostic and in which hospitals and homes would be the places of primary care. Shifting from a reactive to a proactive digital ecosystem, the focus on prevention, quality, and faster care accessibility are the novel value propositions toward democratization and digitalization of patient-centered services. Longevity will translate into increased neurodegenerative, chronic diseases, and mental illnesses, becoming severe issues for a future healthcare setup. Besides, data privacy, big data management, and novel regulatory procedures were considered as potential problems resulting from digital transformation. However, a revised education is needed to address these issues while preparing future health professionals. The "P4 of health", a novel business model that is outcome-based oriented, awareness and acceptance of technologies to support public health, a different mindset that is proactive and future-oriented, and an interdisciplinary setting to merge clinical and technological advances would be key to a novel healthcare ecosystem. Lastly, based on the developed framework, we aim to conduct regular surveys to capture up-to-date technological trends, sustainable health-related business models, and interdependencies. The engagement of stakeholders through awareness and participation is the key to recognizing and improving healthcare needs and services.

Megatrends in Healthcare: Review for the Swiss National Science Foundation's National Research Programme 74 (NRP74) "Smarter Health Care"

Objectives: In this paper, we present a review of some relevant megatrends in healthcare conducted as part of the Swiss National Science Foundation's National Research Programme 74 (NRP74) "Smarter Health Care." Our aim is to stimulate discussions about long-term tendencies underlying the current and future development of the healthcare system. Methods: Our team-a multidisciplinary panel of researchers involved in the NRP74-went through an iterative process of internal consultations followed by a rapid literature review with the goal of reaching group consensus concerning the most relevant megatrends in healthcare. Results: Five megatrends were identified, namely: 1) Socio-demographic shifts. 2) Broadening meaning of "health." 3) Empowered patients and service users. 4) Digitalization in healthcare. 5) Emergence of new models of care. The main features of each megatrend are presented, drawing often on the situation in Switzerland as a paradigmatic example and adding reflections on the potential influence of the COVID-19 pandemic on them. Conclusion: Considering the long-term megatrends affecting the evolution of healthcare is important-amongst other things-to understand and contextualise the relevance and implications of innovative health services research results.

Vagueness in Medicine: On Disciplinary Indistinctness, Fuzzy Phenomena, Vague Concepts, Uncertain Knowledge, and Fact-Value-Interaction

This article investigates five kinds of vagueness in medicine: disciplinary, ontological, conceptual, epistemic, and vagueness with respect to descriptive-prescriptive connections. First, medicine is a discipline with unclear borders, as it builds on a wide range of other disciplines and subjects. Second, medicine deals with many indistinct phenomena resulting in borderline cases. Third, medicine uses a variety of vague concepts, making it unclear which situations, conditions, and processes that fall under them. Fourth, medicine is based on and produces uncertain knowledge and evidence. Fifth, vagueness emerges in medicine as a result of a wide range of fact-value-interactions. The various kinds of vagueness in medicine can explain many of the basic challenges of modern medicine, such as overdiagnosis, underdiagnosis, and medicalization. Even more, it illustrates how complex and challenging the field of medicine is, but also how important contributions from the philosophy can be for the practice of medicine. By clarifying and, where possible, reducing or limiting vagueness, philosophy can help improving care. Reducing the various types of vagueness can improve clinical decision-making, informing individuals, and health policy making.

Analyses of Long Noncoding RNA and mRNA Profiles in Subjects with the Phlegm-Dampness Constitution

Background

Constitution in traditional Chinese medicine (TCM) plays a key role in the genesis, development, and prognosis of diseases. Phlegm-dampness constitution (PDC) is one of the nine constitutions in TCM, susceptible to metabolic disorders, which is mainly manifested by profuse phlegm, loose abdomen, and greasy face. Epidemiologic, genomic, and epigenetic studies have been carried out in previous works, confirming that PDC represents a distinctive population with microcosmic changes related to metabolic disorders. However, whether long noncoding RNAs (lncRNAs) play a regulatory role in metabolic disease in subjects with PDC remains largely unknown. We aimed to investigate distinct lncRNA and mRNA expression signatures and lncRNA-mRNA regulatory networks in the phlegm-dampness constitution (PDC).

Methods

The peripheral blood mononuclear cells (PBMCs) were isolated from the subjects with PDC (n = 13) and balanced constitution (BC) (n = 9). The profiles of lncRNAs and mRNAs in PBMCs were analyzed using microarray and further validated with RT-qPCR. Subsequently, pathway analysis was performed to investigate the function of differentially expressed mRNAs by using Ingenuity Pathway Analysis (IPA).

Results

Results suggested that some mRNAs, which were regulated by the differentially expressed lncRNAs, were mainly enriched in lipid metabolism and immune inflammation-related pathways. This was consistent with the molecular characteristics of previous studies, indicating that the clinical characteristics of metabolic disorders in PDC might be regulated by lncRNAs. Furthermore, by making coexpression network construction as well as cis-regulated target gene analysis, several lncRNA-mRNA pairs with potential regulatory relationships were identified by bioinformatic analyses, including RP11-317J10.2-CA3, RP11-809C18.3-PIP4K2A, LINC0069-RFTN1, TTTY15-ARHGEF9, and AC135048.13-ORAI3.

Conclusions

This study first revealed that the expression characteristics of lncRNAs/mRNAs may be potential biomarkers, indicating that the distinctive physical and clinical characteristics of PDC might be partially attributed to the specific expression signatures of lncRNAs/mRNAs.

What is morally at stake when using algorithms to make medical diagnoses? Expanding the discussion beyond risks and harms

In this paper, we examine the qualitative moral impact of machine learning-based clinical decision support systems in the process of medical diagnosis. To date, discussions about machine learning in this context have focused on problems that can be measured and assessed quantitatively, such as by estimating the extent of potential harm or calculating incurred risks. We maintain that such discussions neglect the qualitative moral impact of these technologies. Drawing on the philosophical approaches of technomoral change and technological mediation theory, which explore the interplay between technologies and morality, we present an analysis of concerns related to the adoption of machine learning-aided medical diagnosis. We analyze anticipated moral issues that machine learning systems pose for different stakeholders, such as bias and opacity in the way that models are trained to produce diagnoses, changes to how health care providers, patients, and developers understand their roles and professions, and challenges to existing forms of medical legislation. Albeit preliminary in nature, the insights offered by the technomoral change and the technological mediation approaches expand and enrich the current discussion about machine learning in diagnostic practices, bringing distinct and currently underexplored areas of concern to the forefront. These insights can contribute to a more encompassing and better informed decision-making process when adapting machine learning techniques to medical diagnosis, while acknowledging the interests of multiple stakeholders and the active role that technologies play in generating, perpetuating, and modifying ethical concerns in health care.

A sociology of precision-in-practice: The affective and temporal complexities of everyday clinical care

The idea of 'precision medicine', which has gained increasing traction since the early 2000s, is now ubiquitous in health and medicine. Though varied in its implementation across fields, precision medicine has raised hopes of revolutionary treatments and has spurred the proliferation of novel therapeutics, the alteration of professional trajectories and various reconfigurations of health/care. Nowhere is the promise of precision medicine more apparent, nor further institutionalised, than in the field of oncology. While the transformative potential of precision medicine is widely taken for granted, there remains scant attention to how it is being experienced at the coalface of care. Here, drawing on the perspectives of 54 cancer care professionals gleaned through eight focus group discussions in two hospitals in Australia, we explore clinicians' experiences of the day-to-day dynamics of precision-in-practice. We illustrate some of the affective and temporal complexities, analysed here under the rubrics of enchantment, acceleration and distraction that are emerging alongside the uptake of precision medicine in the field of oncology. We argue that these complexities, and their dis/continuities with earlier iterations of cancer care, demonstrate the need for sociological analyses of precision medicine as it is being implemented in practice and its varied effects on 'routine' care.

Prospects and Challenges of MXenes as Emerging Sensing Materials for Flexible and Wearable Breath-Based Biomarker Diagnosis

A fully integrated, flexible, and functional sensing device for exhaled breath analysis drastically transforms conventional medical diagnosis to non-invasive, low-cost, real-time, and personalized health care. 2D materials based on MXenes offer multiple advantages for accurately detecting various breath biomarkers compared to conventional semiconducting oxides. High surface sensitivity, large surface-to-weight ratio, room temperature detection, and easy-to-assemble structures are vital parameters for such sensing devices in which MXenes have demonstrated all these properties both experimentally and theoretically. So far, MXenes-based flexible sensor is successfully fabricated at a lab-scale and is predicted to be translated into clinical practice within the next few years. This review presents a potential application of MXenes as emerging materials for flexible and wearable sensor devices. The biomarkers from exhaled breath are described first, with emphasis on metabolic processes and diseases indicated by abnormal biomarkers. Then, biomarkers sensing performances provided by MXenes families and the enhancement strategies are discussed. The method of fabrications toward MXenes integration into various flexible substrates is summarized. Finally, the fundamental challenges and prospects, including portable integration with Internet-of-Thing (IoT) and Artificial Intelligence (AI), are addressed to realize marketization.

On recovery: re-directing the concept by differentiation of its meanings

Recovery is a commonly used concept in both professional and everyday contexts. Yet despite its extensive use, it has not drawn much philosophical attention. In this paper, I question the common understanding of recovery, show how the concept is inadequate, and introduce new and much needed terminology. I argue that recovery glosses over important distinctions and even misrepresents the process of moving away from malady as "going back" to a former state of health. It does not invite important nuances needed to distinguish between biomedical, phenomenological, and social perspectives. In addition, I claim that there are many conditions where we are making use of the concept of recovery, although the person recovered from the condition in question, has not regained the same degree of soundness. I show how the concept of recovery leads to conceptual discrepancies that can result in worsening patients' conditions. To gain a fuller understanding, I propose to rethink the direction of the process in question. I define the process of moving away from malady as a move forward towards a new state of soundness. I also suggest three terms, corresponding to different perspectives, to describe this movement forward: 'curing' (biomedical perspective), 'healing' (first-person perspective), and 'habilitating' (social perspective). This new terminology provides a more nuanced understanding of the states of both malady and soundness and an attentiveness as to how they differ and relate.

Experimental and Computational Approaches to Improve Binding Affinity in Chemical Biology and Drug Discovery

Drug discovery is one of the most complicated processes and establishment of a single drug may require multidisciplinary attempts to design efficient and commercially viable drugs. The main purpose of drug design is to identify a chemical compound or inhibitor that can bind to an active site of a specific cavity on a target protein. The traditional drug design methods involved various experimental based approaches including random screening of chemicals found in nature or can be synthesized directly in chemical laboratories. Except for the long cycle design and time, high cost is also the major issue of concern. Modernized computer-based algorithm including structure-based drug design has accelerated the drug design and discovery process adequately. Surprisingly from the past decade remarkable progress has been made concerned with all area of drug design and discovery. CADD (Computer Aided Drug Designing) based tools shorten the conventional cycle size and also generate chemically more stable and worthy compounds and hence reduce the drug discovery cost. This special edition of editorial comprises the combination of seven research and review articles set emphasis especially on the computational approaches along with the experimental approaches using a chemical synthesizing for the binding affinity in chemical biology and discovery as a salient used in de-novo drug designing. This set of articles exfoliates the role that systems biology and the evaluation of ligand affinity in drug design and discovery for the future.

Will Big Data and personalized medicine do the gender dimension justice?

Over the last decade, humans have produced each year as much data as were produced throughout the entire history of humankind. These data, in quantities that exceed current analytical capabilities, have been described as “the new oil,” an incomparable source of value. This is true for healthcare, as well. Conducting analyses of large, diverse, medical datasets promises the detection of previously unnoticed clinical correlations and new diagnostic or even therapeutic possibilities. However, using Big Data poses several problems, especially in terms of representing the uniqueness of each patient and expressing the differences between individuals, primarily gender and sex differences. The first two sections of the paper provide a definition of “Big Data” and illustrate the uses of Big Data in medicine. Subsequently, the paper explores the struggle to represent exhaustively the uniqueness of the patient through Big Data is highlighted prior to a deeper investigation of the digital representation of gender in personalized medicine. The final part of the paper put forward a series of recommendations for better approaching the complexity of gender in medical and clinical research involving Big Data for the creation or enhancement of personalized medicine services.

Recent advances in bioprinting technologies for engineering cardiac tissue

Annually increasing incidence of cardiac-related disorders and cardiac tissue's minimal regenerative capacity have motivated the researchers to explore effective therapeutic strategies. In the recent years, bioprinting technologies have witnessed a great wave of enthusiasm and have undergone steady advancements over a short period, opening the possibilities for recreating engineered functional cardiac tissue models for regenerative and diagnostic applications. With this perspective, the current review delineates recent developments in the sphere of engineered cardiac tissue fabrication, using traditional and advanced bioprinting strategies. The review also highlights different printing ink formulations, available cellular opportunities, and aspects of personalized medicines in the context of cardiac tissue engineering and bioprinting. On a concluding note, current challenges and prospects for further advancements are also discussed.

Represent me: please! Towards an ethics of digital twins in medicine

Simulations are used in very different contexts and for very different purposes. An emerging development is the possibility of using simulations to obtain a more or less representative reproduction of organs or even entire persons. Such simulations are framed and discussed using the term 'digital twin'. This paper unpacks and scrutinises the current use of such digital twins in medicine and the ideas embedded in this practice. First, the paper maps the different types of digital twins. A special focus is put on the concrete challenges inherent in the interactions between persons and their digital twin. Second, the paper addresses the questions of how far a digital twin can represent a person and what the consequences of this may be. Against the background of these two analytical steps, the paper defines first conditions for digital twins to take on an ethically justifiable form of representation.

Aging biomarkers and the measurement of health and risk

Prevention of age-related disorders is increasingly in focus of health policies, and it is hoped that early intervention on processes of deterioration can promote healthier and longer lives. New opportunities to slow down the aging process are emerging with new fields such as personalized nutrition. Data-intensive research has the potential to improve the precision of existing risk factors, e.g., to replace coarse-grained markers such as blood cholesterol with more detailed multivariate biomarkers. In this paper, we follow an attempt to develop a new aging biomarker. The vision among the project consortium, comprising both research and industrial partners, is that the new biomarker will be predictive of a range of age-related conditions, which may be preventable through personalized nutrition. We combine philosophical analysis and ethnographic fieldwork to explore the possibilities and challenges of managing aging through bodily signs that are not straightforwardly linked to symptomatic disease. We document how the improvement of measurement brings about new conceptual challenges of demarcating healthy and unhealthy states. Moreover, we highlight that the reframing of aging as risk has social and ethical implications, as it is generative of normative notions of what constitutes successful aging and good citizenship.

Aging biomarkers and the measurement of health and risk

Prevention of age-related disorders is increasingly in focus of health policies, and it is hoped that early intervention on processes of deterioration can promote healthier and longer lives. New opportunities to slow down the aging process are emerging with new fields such as personalized nutrition. Data-intensive research has the potential to improve the precision of existing risk factors, e.g., to replace coarse-grained markers such as blood cholesterol with more detailed multivariate biomarkers. In this paper, we follow an attempt to develop a new aging biomarker. The vision among the project consortium, comprising both research and industrial partners, is that the new biomarker will be predictive of a range of age-related conditions, which may be preventable through personalized nutrition. We combine philosophical analysis and ethnographic fieldwork to explore the possibilities and challenges of managing aging through bodily signs that are not straightforwardly linked to symptomatic disease. We document how the improvement of measurement brings about new conceptual challenges of demarcating healthy and unhealthy states. Moreover, we highlight that the reframing of aging as risk has social and ethical implications, as it is generative of normative notions of what constitutes successful aging and good citizenship.

Advancing Food Allergy Through Omics Sciences

Since the publication of the first draft of the human genome, there has been an explosion of new technologies with increasing power to interrogate the totality of biological molecules (eg, DNA, RNA, proteins, metabolites) and their modifications (eg, DNA methylation, histone modifications). These technologies, collectively called omics, have been widely applied in the last 2 decades to study biological systems to gain deeper insight into mechanisms driving the physiology and pathophysiology of human health and disease. Because of its complex, multifactorial nature, food allergy is especially well suited to be investigated using omics approaches. In this rostrum, we review how omic technologies have been applied to explore diverse aspects of food allergy, including adaptive and innate immune processes in food-allergic responses, the role of the microbiome in food allergy risk, metabolic changes in the gut and blood associated with food allergy, and the identification of biomarkers and potential therapeutic targets for the condition. We discuss the strengths and limitations of the studies performed thus far and the need to adopt systems biology approaches that integrate data from multiple omics to fully leverage the potential of these technologies to advance food allergy research and care.

Medicine's metaphysical morass: how confusion about dualism threatens public health

What position on dualism does medicine require? Our understanding of that question has been dictated by holism, as defined by the biopsychosocial model, since the late twentieth century. Unfortunately, holism was characterized at the start with confused definitions of 'dualism' and 'reductionism', and that problem has led to a deep, unrecognized conceptual split in the medical professions. Some insist that holism is a nonreductionist approach that aligns with some form of dualism, while others insist it's a reductionist view that sets out to eradicate dualism. It's important to consider each version. Nonreductive holism is philosophically consistent and clinically unproblematic. Reductive holism, however, is conceptually incoherent-yet it is the basis for the common idea that the boundary between medical and mental health disorders must be vague. When we trace that idea through to its implementation in medical practice, we find evidence that it compromises the safety of patient care in the large portion of cases where clinicians grapple with diagnosis at the boundary between psychiatry and medicine. Having established that medicine must embrace some form of nonreductionism, I argue that Chalmers' naturalistic dualism is a stronger prima facie candidate than the nonreductive alternatives. Regardless of which form of nonreductionism we prefer, some philosophical corrections are needed to give medicine a safe and coherent foundation.

Consumer health informatics approach for personalized cancer screening decisions using utility functions

A consumer health informatics approach is used to investigate the development of a patient-centered decision support system (DSS) with individualized utility functions. It supports medical decisions that have uncertain benefits and potential harms. Its use for accepting or declining cancer screening is illustrated. The system's underlying optimization model incorporates two user-specific utility functions-one that quantifies life-saving benefits and one that quantifies harms, such as unnecessary follow-up tests, surgeries, or treatments. The system requires sound decision making. Therefore, the decision making process was studied using a decision aid in the form of a color-coded matrix with the potential outcomes randomly placed in proportion to their likelihoods. Data were collected from 48 study participants, based on a central composite experimental design. The results show that the DSS can be effective, but health consumers may not be rational decision makers.

A Vitalism Ethos and the Chiropractic Health Care Paradigm

OBJECTIVE

The purposes of this article are to describe the development of vitalism from its earliest Hellenistic form to that of a contemporary vitalism ethos and to propose the importance of vitalism in the philosophy of chiropractic and the chiropractic health care paradigm.

DISCUSSION

A review of the history of vitalism is offered to clarify the use of the term within the chiropractic literature and to provide a defensible position for vitalism as a foundation for future research in the philosophy of chiropractic. The founder of chiropractic, Daniel David Palmer, drew heavily from spiritualism and vitalism in his construction of early chiropractic philosophy. As chiropractic practice and philosophy have evolved, that vitalistic foundation has become a polemic used by factions within the profession, resulting in political challenges. The controversy within chiropractic mirrors similar debates within academic philosophy regarding vitalism. The philosophy of vitalism has developed beyond its classical constructs, emerging as an ethos amenable to informing research within clinical applications and a perspective capable of informing the identity of chiropractic.

CONCLUSION

Exploring the broad historical context of vitalism may allow for an understanding of the plurality of vitalist ideas and a clarification of the concept within chiropractic literature. Adopting vitalism within the philosophy of chiropractic as an ethos based on the work of Georges Canguilhem provides a view of life as fundamentally original, adaptable, and unpredictable, and therefore not sufficiently understood in purely reductionist terms.

Personalized medicine, digital technology and trust: a Kantian account

Trust relations in the health services have changed from asymmetrical paternalism to symmetrical autonomy-based participation, according to a common account. The promises of personalized medicine emphasizing empowerment of the individual through active participation in managing her health, disease and well-being, is characteristic of symmetrical trust. In the influential Kantian account of autonomy, active participation in management of own health is not only an opportunity, but an obligation. Personalized medicine is made possible by the digitalization of medicine with an ensuing increased tailoring of diagnostics, treatment and prevention to the individual. The ideal is to increase wellness by minimizing the layer of interpretation and translation between relevant health information and the patient or user. Arguably, this opens for a new level of autonomy through increased participation in treatment and prevention, and by that, increased empowerment of the individual. However, the empirical realities reveal a more complicated landscape disturbed by information 'noise' and involving a number of complementary areas of expertise and technologies, hiding the source and logic of data interpretation. This has lead to calls for a return to a mild form of paternalism, allowing expertise coaching of patients and even withholding information, with patients escaping responsibility through blind or lazy trust. This is morally unacceptable, according to Kant's ideal of enlightenment, as we have a duty to take responsibility by trusting others reflexively, even as patients. Realizing the promises of personalized medicine requires a system of institutional controls of information and diagnostics, accessible for non-specialists, supported by medical expertise that can function as the accountable gate-keeper taking moral responsibility required for an active, reflexive trust.

A P4 Medicine Perspective of Gut Microbiota and Prediabetes: Systems Analysis and Personalized Intervention

Type 2 diabetes (T2D) accounts for approximately 90% of diabetes worldwide and has become a global public health problem. Generally, individuals go to hospitals and get healthcare only when they have obvious T2D symptoms. While the underlying cause and mechanism of the disease are usually not well understood, treatment is for the symptoms, but not for the disease cause, and patients often continue to progress with more symptoms. Prediabetes is the early stage of diabetes and provides a good time window for intervention and prevention. However, with few symptoms, prediabetes is usually ignored without any treatment. Obviously, it is far from ideal to rely on the traditional medical system for diabetes healthcare. As a result, the medical system must be transformed from a reactive approach to a proactive approach. Root cause analysis and personalized intervention should be conducted for patients with prediabetes. Based on systems medicine, also known as P4 medicine, with a predictive, preventive, personalized, and participatory approach, new medical system is expected to significantly promote the prevention and treatment of chronic diseases such as prediabetes and diabetes. Many studies have shown that the occurrence and development of diabetes is closely related to gut microbiota. However, the relationship between diabetes and gut microbiota has not been fully elucidated. This review describes the research on the relationship between gut microbiota and diabetes and some exploratory trials on the interventions of prediabetes based on P4 medicine model. Furthermore, we also discussed how these findings might influence the diagnosis, prevention and treatment of diabetes in the future, thereby to improve the wellness of human beings.

Accelerating Telemedicine for Cerebral Palsy During the COVID-19 Pandemic and Beyond

The effects of COVID-19 extend beyond the pandemic and are expected to transform healthcare in various ways, many of which remain unknown. With social distancing, telemedicine may become the preferred communication channel between caregivers and patients. Implications for cerebral palsy (CP) children are that this will pose a challenge within this transformation. CP, as a discreet entity, is not considered a risk factor. However, specific comorbidities in individuals with CP, such as chronic lung disease, are known as COVID-19 risk factors. The overall risk for the CP population is probably a factor of age and comorbidities. Staying at home for CP children is both a challenge and an opportunity. Escalation of behavioral conflicts or improved participation and equality within the household may emerge. Interestingly, restricted mobility for the general population narrows existing gaps of ambulation. Telemedicine is the primary way of providing services for chronic conditions during the pandemic and is expected to expand beyond pre-Coronavirus era use. The advantages of telemedicine vary, more so during pandemic times, according to severity, restrictions, and availably of telemedicine. A multidisciplinary therapeutic presence is more accessible with telemedicine, bringing together various specialties and approaches to the child's natural environment. Accessible, continuous care is expected to lower comorbidities, as demonstrated for other chronic conditions. Enhanced monitoring is crucial for younger children as devastating complications, such as hip dysplasia, could be minimized. Last but not least, we will discuss digital health care as an accelerator for participatory medicine, including networked patients and families, as responsible drivers of their health as full partners.

Personalized Medicine, Disruptive Innovation, and "Trailblazer" Guidelines: Case Study and Theorization of an Unsuccessful Change Effort

Policy Points For complex reasons, the promise of "precision medicine" based on molecular pathways remains unrealized for many conditions. Clinical practice guidelines (theoretically, at least) can act as "trailblazers" to introduce tests and treatments that reflect precision medicine discoveries. We describe a detailed case study from the United Kingdom in which such an attempt was (so far) unsuccessful and show how this case provides generalizable lessons. Policymakers should be wary of using clinical practice guidelines as the sole, or even the primary, lever for introducing precision medicine.

CONTEXT

Precision medicine, which addresses underlying molecular mechanisms of disease, depends on new technologies that measure specific biomarkers, leading (it is anticipated) to more accurate diagnosis, patient stratification, and tailored treatment. These technologies can be disruptive-that is, they make possible, and often require, radical changes to clinical practice and service organization-thereby improving quality, safety, or efficiency of care. Clinical practice guidelines may act as "trailblazers," introducing and legitimizing novel technologies and practices.

METHODS

We describe a case study of an attempt by academic researchers to radically change asthma management in the United Kingdom using a precision medicine biomarker (fractional exhaled nitric oxide, FeNO), measured using a portable breath device. We collected a wide-ranging data set that included more than 100 documents, 61 interviews, and 150 hours of ethnographic observation, and we analyzed it using technology-enhanced strong structuration theory (TESST).

FINDINGS

Our study describes a so-far unsuccessful attempt by academic respiratory medicine researchers to pave the way for a precision medicine approach to asthma using a government-endorsed national guideline. These researchers considered asthma management, especially in primary care, to be characterized by overdiagnosis and poor tailoring of treatment; engaged a national guideline development body in an effort to fix this problem; and ensured that the guideline required primary care clinicians to use FeNO technology for diagnosis and monitoring. However, clinicians working outside the tertiary referral centers did not accept, or agree to enact, the vision of precision medicine inscribed in the guideline-for multiple professional, operational, and economic reasons.

CONCLUSIONS

"Trailblazer" guidelines, in which new technologies are recommended, may succeed as catalysts of change only in a limited way for interested individuals and groups. In the absence of a wider program of professionally led and adequately resourced change efforts, such guidelines will lack meaning, legitimacy, and authority among intended users and may be strongly resisted.

Situated Precision Healthcare in the Smart Medical Home: Bringing NASA’s Research Strategy down to Earth

This special issue is ambitious in that it calls for strategic transformation in research on Alzheimer’s Disease (AD) and related dementias, including innovation in both research design and value delivery, through lifestyle interventions that implicitly relate to a much broader range of comorbidities and diseases of aging. One response to this challenge is to venture beyond the boundaries of research that supports the healthcare industry. Toward this end, we introduce opportunities for research translation and knowledge transfer from NASA to the healthcare industry. Our intent is to show how NASA’s approach to research can guide innovation for a smart medical home, most notably for AD and other diseases of aging. The article is organized in four major sections: (a) aggregating fragmented research communities; (b) lifestyle interventions in the medical home; (c) multiscale computational modeling and analysis; and (d) lifespan approach to precision brain health. We provide novel motivations and transformative paths to a diversity of specific lines of research, across communities, that would be difficult to discover in common methods of networking within research communities and even through sophisticated bibliographic methods. We thus reveal how knowledge transfer between the public and private sector can stimulate development of broader scientific communities and achieve a more coherent strategic approach to integration and development of a diversity of capabilities including but not limited to technology.

Determining Outcome in Children and Adolescents After Concussion: Viewing Things More Holistically

Pediatric and adolescent concussion is an increasingly high-profile public health issue, but it is also a highly heterogeneous phenomenon. Many factors interact dynamically to influence the recovery trajectory of adolescents and children. Diagnostic assessment must include domains other than self-reported symptoms, yet many prognostic models of outcome focus solely on the presence or absence of postconcussion symptoms to determine recovery. Function after concussion (recovery or persistence of problems) is the result of an interaction between biological, psychological, and social factors. Despite biopsychosocial models of assessment being advocated in rehabilitation for the last 20 years, they are still not routinely implemented in the evaluation of concussions, along the recovery trajectory, in children and adolescents. The International Classification of Functioning, Disability and Health is a framework anchored in a biopsychosocial perspective that can guide clinicians and researchers to include multiple perspectives in their assessments or research designs. By focusing on the patient as a person, researchers and clinicians can provide a more holistic approach that has the potential to contribute to a more successful and sustainable pediatric and adolescent concussion care model. J Orthop Sports Phys Ther 2019;49(11):855-863. Epub 9 Oct 2019. doi:10.2519/jospt.2019.8918.

Relationship based care - how general practice developed and why it is undermined within contemporary healthcare systems

Objective: Investigating the state of generalism in medicine from the outlook of general practice. Line of argument: General practice developed when its pioneers, in continuing relationships, learnt to know their patients through the variety of medical situations. From the 50s, there is an increasing literature on the virtues and challenges of relationship based general practice, and register-based research indicate its benefits. Generalist perspectives and person-centeredness are implemented in specialised care and medical education but need to be complemented by an input from relationship based general practice. The politically defined aim of primary care is not to balance the draw-backs of specialisation, but to provide medicine at the primary care level. In Sweden, and increasingly even in traditional strongholds of general practice, team-based primary care is thought to respond to increasing demands, filtering out non- and minor disease through triage, practicing task distribution, and moving the GP to a secondary level working with the 'really sick', in all a decline in direct contact between patient and GP. Conclusions: When this happens, clinical medicine as a whole becomes drained of the practice of its human dimension. The lack of absolute proof of medical benefits cannot justify a disregard of the value of mutual knowledge and trust in the relationship, but still, in several countries, relationshipbased general practice will be hard to achieve for GPs planning their career. If the political winds should change, a sustaining profession of GPs preserving their relational ethos inside the team model, may be prepared to reform primary care. KEY POINTS Proclaiming both biomedical breadth and the trustful relationship between doctor and patient, as a specialty, general practice embodies medical generalism. A direct input from the patient's personal GP is necessary to make specialised care become more comprehensive and individualised. In reality, the team, practicing triage and task distribution, is increasingly replacing the doctor-patient relationship as working mode in primary care When the disease rather than the doctor-patient relationship, becomes the organising principle of primary care, medicine as a whole will be drained of the practice of its human dimension.

Situating biologies of traditional Chinese medicine in Central Europe

Since the concept of 'local biologies' was proposed in the 1990s, it has been used to examine biosocial processes that transform human bodies in similar and different ways around the globe. This paper explores understandings of biosocial differentiation and convergence in the case of Traditional Chinese Medicine (TCM) in the Czech Republic. Specifically, it examines how Czech TCM practitioners view TCM as universally applicable while fine-tuning it to situated biosocial conditions, experimenting with the compatibilities of various human and plant bodies as part of their generalised, clinical practice. Drawing upon ethnographic research among TCM practitioners in the Czech Republic, it suggests that in addition to the individualization of TCM therapeutics to suit particular patients, Czech TCM is characterised by collective particularization, shaped by local concerns over ethnic, environmental and cultural differences. By looking critically at TCM practitioners' sensitivities to localised biological similarities and differences it aims to contribute to understandings of the expansion of TCM in Central Europe, as well as more broadly to current social science debates over the risks and opportunities inherent in abandoning the assumption of a universal human body and biology.

Contested futures: envisioning "Personalized," "Stratified," and "Precision" medicine

In recent years, discourses around "personalized," "stratified," and "precision" medicine have proliferated. These concepts broadly refer to the translational potential carried by new data-intensive biomedical research modes. Each describes expectations about the future of medicine and healthcare that data-intensive innovation promises to bring forth. The definitions and uses of the concepts are, however, plural, contested and characterized by diverse ideas about the kinds of futures that are desired and desirable. In this paper, we unpack key disputes around the "personalized," "stratified," and "precision" terms, and map the epistemic, political and economic contexts that structure them as well as the different roles attributed to patients and citizens in competing future imaginaries. We show the ethical and value baggage embedded within the promises that are manufactured through terminological choices and argue that the context and future-oriented nature of these choices helps to understanding how data-intensive biomedical innovations are made socially meaningful.

The Role of Chinese Medicine in Health Maintenance and Disease Prevention: Application of Constitution Theory

Traditional Chinese medicine (TCM) has guided health maintenance and disease treatment for thousands of years and has been widely used in many countries around the world. TCM regards each individual as unique so all corresponding therapeutic and preventive approaches in TCM are personalized. Personalized medicine, also referred to as precision medicine, is an emerging medical paradigm that points toward a new direction for future medical development. TCM constitution studies the holistic body condition, which is affected by both inborn and acquired factors. Body constitution lays the foundation for disease diagnosis, prevention and treatment. Different constitution types predispose individuals to different disease susceptibilities. Examining an individual's unique body constitution can promote effective health management and benefit the application of personalized medicine significantly. This review will introduce and discuss the application of the TCM constitution for health maintenance and disease prevention. In last decade, a number of modern techniques have been employed in the constitution research to evaluate the health status of individuals. The TCM constitution reflects the current status and future trends of human health in four aspects, i.e., individual differences, life processes, psychological condition and adaptability to natural and social environments. This TCM constitution theory has already been applied in the Chinese public health management at different levels with promising outcome. The constitution theory and practice provide a new approach for health maintenance and disease prevention.

Predictive, Personalized, Preventive and Participatory (4P) Medicine Applied to Telemedicine and eHealth in the Literature

The main objective of this work is to provide a review of existing research work into predictive, personalized, preventive and participatory medicine in telemedicine and ehealth. The academic databases used for searches are IEEE Xplore, PubMed, Science Direct, Web of Science and ResearchGate, taking into account publication dates from 2010 up to the present day. These databases cover the greatest amount of information on scientific texts in multidisciplinary fields, from engineering to medicine. Various search criteria were established, such as ("Predictive" OR "Personalized" OR "Preventive" OR "Participatory") AND "Medicine" AND ("eHealth" OR "Telemedicine") selecting the articles of most interest. A total of 184 publications about predictive, personalized, preventive and participatory (4P) medicine in telemedicine and ehealth were found, of which 48 were identified as relevant. Many of the publications found show how the P4 medicine is being developed in the world and the benefits it provides for patients with different illnesses. After the revision that was undertaken, it can be said that P4 medicine is a vital factor for the improvement of medical services. It is hoped that one of the main contributions of this study is to provide an insight into how P4 medicine in telemedicine and ehealth is being applied, as well as proposing outlines for the future that contribute to the improvement of prevention and prediction of illnesses.

Dynamic modeling and network approaches for omics time course data: overview of computational approaches and applications

Inferring networks and dynamics of genes, proteins, cells and other biological entities from high-throughput biological omics data is a central and challenging issue in computational and systems biology. This is essential for understanding the complexity of human health, disease susceptibility and pathogenesis for Predictive, Preventive, Personalized and Participatory (P4) system and precision medicine. The delineation of the possible interactions of all genes/proteins in a genome/proteome is a task for which conventional experimental techniques are ill suited. Urgently needed are rapid and inexpensive computational and statistical methods that can identify interacting candidate disease genes or drug targets out of thousands that can be further investigated or validated by experimentations. Moreover, identifying biological dynamic systems, and simultaneously estimating the important kinetic structural and functional parameters, which may not be experimentally accessible could be important directions for drug-disease-gene network studies. In this article, we present an overview and comparison of recent developments of dynamic modeling and network approaches for time-course omics data, and their applications to various biological systems, health conditions and disease statuses. Moreover, various data reduction and analytical schemes ranging from mathematical to computational to statistical methods are compared including their merits, drawbacks and limitations. The most recent software, associated web resources and other potentials for the compared methods are also presented and discussed in detail.

Development of Strategic Plans for Advancing Nursing in Korea

PURPOSE

The aim of the study is to evaluate the current and prospective status of nursing in Korea and develop a strategic framework and plan to accommodate the increased demands on nurses in the changing health-care system.

METHODS

This study used a mixed-methods approach including a literature review, an online survey with health-care consumers, expert panel interviews, and an analysis of strengths, weaknesses, opportunities, and threats to develop the strategic plans and framework.

RESULTS

The vision of the strategic framework involved improving health and quality of life, and its mission was to elevate the status of Korea's nursing sector as a key health-care profession through high-quality and innovative nursing education, research, and practice. The five values in accordance with the mission and vision were innovation, creation, collaboration, excellence, and authenticity. Three strategic goals, namely, education, research, and practice, were identified, and 31 related strategic tasks were developed.

CONCLUSION

In response to the rising social demand for a paradigm shift in nursing care services, there is a need for advancements in nursing education, research, and practice in Korea. This study provide some recommendations to achieve these aims.

How to distinguish medicalization from over-medicalization?

Is medicalization always harmful? When does medicine overstep its proper boundaries? The aim of this article is to outline the pragmatic criteria for distinguishing between medicalization and over-medicalization. The consequences of considering a phenomenon to be a medical problem may take radically different forms depending on whether the problem in question is correctly or incorrectly perceived as a medical issue. Neither indiscriminate acceptance of medicalization of subsequent areas of human existence, nor criticizing new medicalization cases just because they are medicalization can be justified. The article: (i) identifies various consequences of both well-founded medicalization and over-medicalization; (ii) demonstrates that the issue of defining appropriate limits of medicine cannot be solved by creating an optimum model of health; (iii) proposes four guiding questions to help distinguish medicalization from over-medicalization. The article should foster a normative analysis of the phenomenon of medicalization and contribute to the bioethical reflection on the boundaries of medicine.