Integration of personalized drug delivery systems into digital health

Bespoke hydroxypropyl methylcellulose-based solid foams loaded with poorly soluble drugs by tunable modular design

A tunable modular design (TMD) as a new approach was proposed to tailor the dose and drug release profile of poorly water-soluble drugs from hydroxypropyl methylcellulose (HPMC)-based solid foams by combining two manufacturing principles: (1) freeze-drying aqueous HPMC-based gels to yield porous sturdy modules with specific doses of an active pharmaceutical ingredient (API) with the step size of 3 mg, and (2) fine-tuning the desired dose of the API with the step size of 0.1 mg by inkjet printing of the API-loaded ink onto the modules. Carvedilol (CAR) was used as a model poorly water-soluble API that requires frequent dose adjustment. The limitation of poor CAR solubility was overcome by designing pharmaceutically approved co-solvent systems. This approach ensured printable inks of a high drug content, and sturdy and flexible modules with uniform distribution of CAR to achieve effective and accurate doses of CAR. The tailored release rate of CAR from TMD products was succeeded by varying the composition, particularly, the content and grade of HPMC, and physical dimensions of modules. The TMD approach holds potential for designing bespoke high-quality products, containing hydrophilic cellulose ethers such as HPMC and poorly water-soluble APIs.

Visualization and quantification of citalopram hydrobromide within highly porous drug products by near-infrared chemical imaging

A novel method for the fabrication of flexible and precise doses of an antidepressant, citalopram hydrobromide (CHB), utilizing two approaches of incorporating CHB into the dosage form, was introduced in an earlier study. This method, called tunable modular design (TMD), employs CHB-preloaded modules done by freeze-drying together with inkjet printing of CHB-containing ink onto the modules. In this study, near-infrared chemical imaging (NIR-CI) was utilized to visualize the distribution of CHB both on the printed surface of the samples as well as through imaging the cross-section of these samples. Furthermore, as the TMD samples are to be optimally produced at the point of care, it is crucial to understand the factors affecting the development of fast, non-destructive, quantitative models for dose verification to ensure the delivery of high-quality drug products to patients. A state-of-the-art pushbroom NIR-CI instrument was utilized for this purpose. Industry-standard partial least squares (PLS) and support vector machine (SVR) models were implemented for data analysis. Furthermore, multivariate curve resolution was explored as both qualitative and quantitative modeling tools. The obtained prediction models were accurate, having the root mean square error of prediction of the quantitative SVR models as low as 0.21. Additionally, NIR-CI could detect the printed drug in the samples along the cross-section and on the surface, thus making it a potent tool for the troubleshooting and quality control of TMD samples.

Are we all singing from the same song sheet? Standardizing terminology used in inter-professional telehealth education and practice: a mixed method study

BACKGROUND

Telehealth interventions have proven essential in maintaining healthcare delivery during the global pandemic. However, its broader adoption within different healthcare settings has been impacted by inconsistent and non-standardized terminology, which poses challenges to global implementation and stakeholder communication. This article addresses these barriers by analyzing telehealth-related terms and developing a detailed clinical guide to aid inter-professional health educators in adopting standardized terminology, improving clarity, and fostering collaboration.

METHODS

A mixed-methods approach was used, comprising four phases. Phase 1 included weekly online journal club sessions (February to August 2024) focused on digital health topics, where relevant terms were discussed and extracted. Phase 2 involved detailed transcription analysis to identify telehealth-related terms based on their frequency of use and relevance to digital health. Phase 3 was a systematic literature review to contextualize and refine the identified terms. Phase 4 entailed expert validation, where five digital health professionals reviewed the proposed terminology and provided refinements. Additionally, terms were cross-referenced with the Medical Subject Headings (MeSH) database to evaluate their existing definitions.

RESULTS

A total of 314 telehealth terms were identified through discussions in the International Journal Club in Digital Health (IJC DH) and a literature review. Approximately 90.44% of these terms were sourced from 12 journal club sessions, covering topics such as Digital Health, Digital Psychiatry, Neurorehabilitation, and Robotic Surgery. The literature review contributed 30 unique terms, with further analysis revealing that 73% of the terms were not defined in the MeSH database. This finding underscores the evolving nature of telehealth and the need for terminology standardization. Expert reviews validated most proposed definitions, though specific terms required additional discussion.

CONCLUSIONS

The resulting standardized terminology guide enhances inter-professional collaboration in telehealth by providing clear and consistent definitions. This guide reduces miscommunication, facilitates interdisciplinary research and practice, and can be integrated into educational curricula to prepare future healthcare professionals for the complexities of digital health. By addressing terminology gaps, this study supports the advancement of telehealth education and improves patient care outcomes.

Nanomedicine-Enhanced Radiotherapy for Glioblastoma: Advances in Targeted Therapy and Adaptive Treatment Strategies

Glioblastoma multiforme remains one of the most aggressive and treatment-resistant brain tumors that necessitate innovative therapeutic approaches. Nanomedicine has emerged as a promising strategy to enhance radiation therapy by improving drug delivery, radiosensitization, and real-time treatment monitoring. Stimuli-responsive nanoparticles can overcome limitations of the blood-brain barrier, modulate tumor microenvironment, and facilitate targeted therapeutic interventions. The integration of nanotechnology with proton and X-ray radiotherapy offers improved dose precision, enhanced radiosensitization, and adaptive treatment strategies. Furthermore, Artificial Intelligence-driven nanoparticle designs are optimizing therapeutic outcomes by tailoring formulations to tumor-specific characteristics. While promising, clinical translation remains a challenge that requires rigorous validation to ensure safety and efficacy. This review highlights advancements in nanomedicine-enhanced radiotherapy and future directions for glioblastoma multiforme treatment.

Insight into manufacturing of bespoke combination drug products containing carvedilol and simvastatin by fused deposition modeling

The goal of this study was to explore the fabrication of a combination drug product containing two poorly soluble active pharmaceutical ingredients (APIs), carvedilol (CAR) and simvastatin (SIM), in therapeutically relevant doses (25 mg of each API) with a distinct, easily distinguishable shape. Fused deposition modeling, combined with hot-melt extrusion (HME), was used to produce hollow heart-shaped dual-loaded tablets in which the two APIs were spatially separated with an intermediate API-free layer. Water-soluble hydroxypropyl methylcellulose of varying molecular weights was used as the primary polymer for HME. The incorporation of a processability-improving polymer, such as polycaprolactone, was necessary to facilitate the printing of these delicate geometries and lower the printing temperature. The 3D-printed tablets contained the therapeutic doses of both APIs; however, further optimization of manufacturing processes is required to improve drug content uniformity. The drug release from the printed tablets was sustained, with complete release of CAR observed after 24 h, demonstrating the suitability of the designed drug products for oral delivery.

Concept and Evolution in 3D Printing for Excellence in Healthcare

Three-dimensional printing (3DP) has gained popularity among scientists and researchers in every field due to its potential to drastically reduce energy costs for the production of customized products by utilizing less energy-intensive machines as well as minimizing material waste. The 3D printing technology is an additive manufacturing approach that uses material layer-by-layer fabrication to produce the digitally specified 3D model. The use of 3D printing technology in the pharmaceutical sector has the potential to revolutionize research and development by providing a quick and easy means to manufacture personalized one-off batches, each with unique dosages, distinct substances, shapes, and sizes, as well as variable release rates. This overview addresses the concept of 3D printing, its evolution, and its operation, as well as the most popular types of 3D printing processes utilized in the health care industry. It also discusses the application of these cutting-edge technologies to the pharmaceutical industry, advancements in various medical fields and medical equipment, 3D bioprinting, the most recent initiatives to combat COVID-19, regulatory frameworks, and the major challenges that this technology currently faces. In addition, we attempt to provide some futuristic approaches to 3DP applications.

Artificial intelligence for personalized nanomedicine; from material selection to patient outcomes

INTRODUCTION

Artificial intelligence (AI) is changing the field of nanomedicine by exploring novel nanomaterials for developing therapies of high efficacy. AI works on larger datasets, finding sought-after nano-properties for different therapeutic aims and eventually enhancing nanomaterials' safety and effectiveness. AI leverages patient clinical and genetic data to predict outcomes, guide treatments, and optimize drug dosages and forms, enhancing benefits while minimizing side effects. AI-supported nanomedicine faces challenges like data fusion, ethics, and regulation, requiring better tools and interdisciplinary collaboration. This review highlights the importance of AI regarding patient care and urges scientists, medical professionals, and regulators to adopt AI for better outcomes.

AREAS COVERED

Personalized Nanomedicine, Material Discovery, AI-Driven Therapeutics, Data Integration, Drug Delivery, Patient Centric Care.

EXPERT OPINION

Today, AI can improve personalized health wellness through the discovery of new types of drug nanocarriers, nanomedicine of specific properties to tackle targeted medical needs, and an increment in efficacy along with safety. Nevertheless, problems such as ethical issues, data security, or unbalanced data sets need to be addressed. Potential future developments involve using AI and quantum computing together and exploring telemedicine i.e. the Internet-of-Medical-Things (IoMT) approach can enhance the quality of patient care in a personalized manner by timely decision-making.

Digital Interventions for Managing Medication and Health Care Service Delivery in West Africa: Systematic Review

BACKGROUND

As a result of the recent advancements in technology, the incorporation of digital interventions into the health care system has gained a lot of attention and adoption globally. However, these interventions have not been fully adopted, thereby limiting their impact on health care delivery in West Africa.

OBJECTIVE

This review primarily aims at evaluating the current digital interventions for medication and health care delivery in West Africa. Its secondary aim is to assess the impacts of digital interventions in managing medication and health care service delivery with the intent of providing vital recommendations that would contribute to an excellent adoption of digital intervention tools in the health care space in West Africa.

METHODS

In line with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), a comprehensive search through various databases yielded 529 results. After a rigorous screening, 29 articles that provided information on 3 broad digital health intervention tools were found eligible for this review.

RESULTS

Out of 29 studies, 16 (55%) studies examined phone-based interventions, 9 (31%) studies focused on tele- and e-based interventions, and 4 (14%) studies evaluated digital interventions. These interventions were used for diverse purposes, some of which are monitoring adverse drug reactions, general health, sexual and reproductive health, and training of health care practitioners. The phone-based intervention appears to be the most known and impactful of all the interventions, followed by tele- and e-based, while digital interventions were scarcely used.

CONCLUSIONS

Digital interventions have had a considerable level of impact on medication and health care delivery across West Africa. However, the overall impact is limited. Therefore, strategies must be developed to address the challenges limiting the use of digital intervention tools so that these tools can be fully incorporated into the health care space in West Africa.

Hybrid Integration of Wearable Devices for Physiological Monitoring

Wearable devices can provide timely, user-friendly, non- or minimally invasive, and continuous monitoring of human health. Recently, multidisciplinary scientific communities have made significant progress regarding fully integrated wearable devices such as sweat wearable sensors, saliva sensors, and wound sensors. However, the translation of these wearables into markets has been slow due to several reasons associated with the poor system-level performance of integrated wearables. The wearability consideration for wearable devices compromises many properties of the wearables. Besides, the limited power capacity of wearables hinders continuous monitoring for extended duration. Furthermore, peak-power operations for intensive computations can quickly create thermal issues in the compact form factor that interfere with wearability and sensor operations. Moreover, wearable devices are constantly subjected to environmental, mechanical, chemical, and electrical interferences and variables that can invalidate the collected data. This generates the need for sophisticated data analytics to contextually identify, include, and exclude data points per multisensor fusion to enable accurate data interpretation. This review synthesizes the challenges surrounding the wearable device integration from three aspects in terms of hardware, energy, and data, focuses on a discussion about hybrid integration of wearable devices, and seeks to provide comprehensive guidance for designing fully functional and stable wearable devices.

Tailor-Made Doses of Pharmaceuticals by Tunable Modular Design: A Case Study on Tapering Antidepressant Medication

An abrupt cessation of antidepressant medication can be challenging due to the appearance of withdrawal symptoms. A slow hyperbolic tapering of an antidepressant, such as citalopram hydrobromide (CHB), can mitigate the withdrawal syndrome. However, there are no viable dosage forms on the market to implement the tapering scheme. A solution using a tunable modular design (TMD) approach to produce flexible and accurate doses of CHB is proposed. This design consists of two parts: 1) a module with a fixed amount of preloaded CHB in a freeze-dried polymer matrix, and 2) fine-tuning the CHB dose by inkjet printing. A noncontact food-grade printer, used for the first time for printing pharmaceuticals, is modified to allow for accurate printing of the highly concentrated CHB ink on the porous CHB-free or CHB-preloaded modules. The produced modules with submilligram precision are bench-marked with commercially available CHB tablets that are manually divided. The TMD covers the entire range of doses needed for the tapering (0.5-23.8 mg). The greatest variance is 13% and 88% when comparing the TMD and self-tapering, respectively. Self-tapering is proven inaccurate and showcases the need for the TMD to make available accurate and personalized doses to wean off treatment with CHB.

Alrobaian M. Strengths and weaknesses of current and future prospects of artificial intelligence-mounted technologies applied in the development of pharmaceutical products and services

Starting from drug discovery, through research and development, to clinical trials and FDA approval, artificial intelligence (AI) plays a vital role in planning, developing, assessing modelling, and optimization of product attributes. In recent decades, machine-learning algorithms integrated into artificial neural networks, neuro-fuzzy logic and decision trees have been applied to tremendous domains related to drug formulation development. Optimized formulations were transformed from lab to market based on optimized properties derived from AI Technologies. Research and development in pharmaceutical industry rely upon computer-driven equipment and machine learning technology to extract data, perform simulations, modelling, and optimization to get optimum solutions. Merging AI technologies in various steps of pharmaceutical manufacture is a major challenge due to lack of in-house technologies. In silico studies based on artificial intelligence are widely applied as effective tools to screen the market needs of medications and pharmaceutical services through inspecting scientific literature and prioritizing medicines for specific illnesses or a particular patient. Specialized personnel who excel in scientific and data science with analytical knowledge are essential for transformation to smart manufacturing and offering services. However, privacy, cybersecurity, AI-dependent unemployment, and ownership rights of AI technologies require proper regulations to gain the benefits and minimize the drawbacks.

Customizable orodispersible films: Inkjet printing and data matrix encoding for personalized hydrocortisone dosing

The aim of this study was to exploit the versatility of inkjet printing to develop flexible doses of drug-loaded orodispersible films that encoded information in a data matrix pattern, and to introduce a specialised data matrix-generator software specifically focused on the healthcare sector. Pharma-inks (drug-loaded inks) containing hydrocortisone (HC) were developed and characterised based on their rheological properties and drug content. Different strategies were investigated to improve HC solubility: formation of β-cyclodextrin complexes, Soluplus® based micelles, and the use of co-solvent systems. The software automatically adapted the data matrix size and identified the number of layers for printing. HC content deposited in each film layer was measured, and it was found that the proportion of co-solvent used directly affected the drug solubility and simultaneously played a role in the modification of the viscosity and surface tension of the inks. The formation of β-cyclodextrin complexes improved the drug quantity deposited in each layer. On the contrary, micelle-based inks were not suitable for printing. Orodispersible films containing flexible and low doses of personalised HC were successfully prepared, and the development of a code generator software oriented to medical use provided an additional, innovative, and revolutionary advantage to personalised medicine safety and accessibility.

A Holographic-Type Model in the Description of Polymer-Drug Delivery Processes

A unitary model of drug release dynamics is proposed, assuming that the polymer-drug system can be assimilated into a multifractal mathematical object. Then, we made a description of drug release dynamics that implies, via Scale Relativity Theory, the functionality of continuous and undifferentiable curves (fractal or multifractal curves), possibly leading to holographic-like behaviors. At such a conjuncture, the Schrödinger and Madelung multifractal scenarios become compatible: in the Schrödinger multifractal scenario, various modes of drug release can be "mimicked" (via period doubling, damped oscillations, modulated and "chaotic" regimes), while the Madelung multifractal scenario involves multifractal diffusion laws (Fickian and non-Fickian diffusions). In conclusion, we propose a unitary model for describing release dynamics in polymer-drug systems. In the model proposed, the polymer-drug dynamics can be described by employing the Scale Relativity Theory in the monofractal case or also in the multifractal one.

Biologics, theranostics, and personalized medicine in drug delivery systems

The progress in human disease treatment can be greatly advanced through the implementation of nanomedicine. This approach involves targeted and cell-specific therapy, controlled drug release, personalized dosage forms, wearable drug delivery, and companion diagnostics. By integrating cutting-edge technologies with drug delivery systems, greater precision can be achieved at the tissue and cellular levels through the use of stimuli-responsive nanoparticles, and the development of electrochemical sensor systems. This precision targeting - by virtue of nanotechnology - allows for therapy to be directed specifically to affected tissues while greatly reducing side effects on healthy tissues. As such, nanomedicine has the potential to transform the treatment of conditions such as cancer, genetic diseases, and chronic illnesses by facilitating precise and cell-specific drug delivery. Additionally, personalized dosage forms and wearable devices offer the ability to tailor treatment to the unique needs of each patient, thereby increasing therapeutic effectiveness and compliance. Companion diagnostics further enable efficient monitoring of treatment response, enabling customized adjustments to the treatment plan. The question of whether all the potential therapeutic approaches outlined here are viable alternatives to current treatments is also discussed. In general, the application of nanotechnology in the field of biomedicine may provide a strong alternative to existing treatments for several reasons. In this review, we aim to present evidence that, although in early stages, fully merging advanced technology with innovative drug delivery shows promise for successful implementation across various disease areas, including cancer and genetic or chronic diseases.

Overview of therapeutic drug monitoring and clinical practice

With the rapid development of clinical pharmacy in China, therapeutic drug monitoring (TDM) has become an essential tool for guiding rational clinical drug use and is widely concerned. TDM is a tool that combines pharmacokinetic and pharmacodynamic knowledge to optimize personalized drug therapy, which can improve treatment outcomes, reduce drug-drug toxicity, and avoid the risk of developing drug resistance. To effectively implement TDM, accurate and sophisticated analytical methods are required. By researching the literature published in recent years, we summarize the types of commonly monitored drugs, therapeutic windows, and clinical assays and track the trends and hot spots of therapeutic drug monitoring. The purpose is to provide guidelines for clinical blood drug concentration monitoring, to implement individualized drug delivery programs better, to ensure the rational use of drugs for patients, and to provide a reference for the group to carry out related topics in the future.

Current status and prospects for improved targeted delivery approaches for cancer

Millions of individuals worldwide suffer from the complicated disease known as cancer. Though they frequently have serious side effects and can harm healthy cells, the current cancer treatments, such as radiation therapy and chemotherapy, are effective in many cases. Targeted drug delivery systems have emerged as a promising new paradigm in cancer treatment because they can deliver drugs directly to cancer cells with minimal harm to healthy cells. This review aims to give a broad overview of the state of targeted drug delivery systems for cancer treatment and investigate the technology's potential in the future. We'll go through the various kinds of targeted drug delivery systems, their drawbacks, the most recent developments, and possible future paths for further study and creation. This review aims to provide an overview of the current status of targeted drug delivery systems for cancer treatment, including the different types of targeted drug delivery systems, their limitations, recent advancements, and potential future directions for research and development. By examining the field's current state and exploring prospects, this review aims to highlight the potential of targeted drug delivery systems for improving cancer treatment and ultimately enhancing patient outcomes.

Solid-state analysis for pharmaceuticals: Pathways to feasible and meaningful analysis

The solid state of matter is the preferred starting point for designing a pharmaceutical product. This is driven by both patient preferences and the relative ease of supplying a solid pharmaceutical product with desired quality and performance. Solid form diversity is increasingly prevalent as a crucial element in designing these products, which underpins the importance of solid-state analytical methods. This paper provides a critical analysis of challenges related to solid-state analytics, as well as considerations and suggestions for feasible and meaningful pharmaceutical analysis.

Two-dimensional printing of nanoparticles as a promising therapeutic method for personalized drug administration

The necessity for personalized patient treatment has drastically increased since the contribution of genes to the differences in physiological and metabolic state of individuals have been exposed. Different approaches have been considered so far in order to satisfy all of the diversities in patient needs, yet none of them have been fully implemented thus far. In this framework, various types of 2D printing technologies have been identified to offer some potential solutions for personalized medication, which development is increasing rapidly. Accurate drug-on-demand deposition, the possibility of consuming multiple drug substances in one product and adjusting individual drug concentration are just some of the few benefits over existing bulk pharmaceuticals manufacture, which printing technologies brings. With inclusion of nanotechnology by printing nanoparticles from its dispersions some further opportunities such as controlled and stimuli-responsive drug release or targeted and dose depending on drug delivery were highlighted. Yet, there are still some challenges to be solved before such products can reach the pharmaceutical market. In those terms mostly chemical, physical as well as microbiological stability concerns should be answered, with which 2D printing technology could meet the treatment needs of every individual and fulfill some existing drawbacks of large-scale batch production of pharmaceuticals we possess today.

Personalized demand-responsive biphasic microneedle patch for smart drug administration

Many patients, especially those with chronic diseases, would benefit from personalized drugs that could modulate the treatment regimen. Tailored drug delivery via microneedle patches (MNPs) has emerged as a promising technology to address this problem. However, it is still difficult to modulate the treatment regimen in one MNP. Here, multiple treatment regimens were achieved by the same MNP functionalized with modifiable nanocontainers (NCs). The MNPs were biphasic in design, resulting in approximately a twice as high drug loading capacity than that of traditional dissolving MNPs. The drug-loaded NCs could have a zero-order release rate for at least 20 d in vitro. Furthermore, three model MNPs, Type-A (100% drug), Type-B (50% drug and 50% NCs) and Type-C (100% NCs) were generated to simulate various personalized dosing needs. In vivo application of these models could achieve effective therapeutic drug concentrations in the first 12 h and adjusted the duration of effective drug action from 24 h to 96 h and 144 h, respectively, with outstanding biocompatibility. These findings indicate that this device holds significant promise for personalized drug delivery.

A computer architecture based on disruptive information technologies for drug management in hospitals

The drug management currently carried out in hospitals is inadequate due to several factors, such as processes carried out manually, the lack of visibility of the hospital supply chain, the lack of standardized identification of medicines, inefficient stock management, an inability to follow the traceability of medicines, and poor data exploitation. Disruptive information technologies could be used to develop and implement a drug management system in hospitals that is innovative in all its phases and allows these problems to be overcome. However, there are no examples in the literature that show how these technologies can be used and combined for efficient drug management in hospitals. To help solve this research gap in the literature, this article proposes a computer architecture for the whole drug management process in hospitals that uses and combines different disruptive computer technologies such as blockchain, radio frequency identification (RFID), quick response code (QR), Internet of Things (IoT), artificial intelligence and big data, for data capture, data storage and data exploitation throughout the whole drug management process, from the moment the drug enters the hospital until it is dispensed and eliminated.

Challenges and opportunities for improving the druggability of natural product: Why need drug delivery system?

Bioactive natural products (BNPs) are the marrow of medicinal plants, which are the secondary metabolites of organisms and have been the most famous drug discovery database. Bioactive natural products are famous for their enormous number and great safety in medical applications. However, BNPs are troubled by their poor druggability compared with synthesis drugs and are challenged as medicine (only a few BNPs are applied in clinical settings). In order to find a reasonable solution to improving the druggability of BNPs, this review summarizes their bioactive nature based on the enormous pharmacological research and tries to explain the reasons for the poor druggability of BNPs. And then focused on the boosting research on BNPs loaded drug delivery systems, this review further concludes the advantages of drug delivery systems on the druggability improvement of BNPs from the perspective of their bioactive nature, discusses why BNPs need drug delivery systems, and predicts the next direction.

Digital health in chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) can be prevented and treated through effective care, reducing exacerbations and hospitalizations. Early identification of individuals at high risk of COPD exacerbation is an opportunity for preventive measures. However, many patients struggle to follow their treatment plans because of a lack of knowledge about the disease, limited access to resources, and insufficient clinical support. The growth of digital health-which encompasses advancements in health information technology, artificial intelligence, telehealth, the Internet of Things, mobile health, wearable technology, and digital therapeutics-offers opportunities for improving the early diagnosis and management of COPD. This study reviewed the field of digital health in terms of COPD. The findings showed that despite significant advances in digital health, there are still obstacles impeding its effectiveness. Finally, we highlighted some of the major challenges and possibilities for developing and integrating digital health in COPD management.

Harnessing personalized tailored medicines to digital-based data-enriched edible pharmaceuticals

Tailoring drug products to personalized medicines poses challenges for conventional dosage forms. The prominent reason is the restricted availability of flexible dosage strengths in the market. Inappropriate dosage strengths lead to adverse drug reactions or compromised therapeutic effects. The situation worsens when the drug has a narrow therapeutic window. To overcome these challenges, data-enriched edible pharmaceuticals (DEEP) are novel concepts for designing solid oral products. DEEP have individualized doses and information embedded in quick response (QR) code form. When data are presented in a QR code, the information is printed with edible ink that contains the drug in tailored doses required for the patients.

Implantable device actuated by manual button clicks for noninvasive self-drug administration

Self-injectable therapy has several advantages in the treatment of metabolic disorders. However, frequent injections with needles impair patient compliance and medication adherence. Therefore, we develop a fully implantable device capable of on-demand administration of self-injection drugs via noninvasive manual button clicks on the outer skin. The device is designed to infuse the drug only at the moment of click actuation, which allows for an accurate and reproducible drug infusion, and also prevents unwanted drug leakage. Using a mechanical means of drug infusion, this implantable device does not contain any electronic compartments or batteries, making it compact, and semi-permanent. When tested in animals, the device can achieve subcutaneous injection-like pharmacokinetic and pharmacodynamic effects for self-injection drugs such as exenatide, insulin, and glucagon.

Magistral Compounding with 3D Printing: A Promising Way to Achieve Personalized Medicine

BACKGROUND

Magistral compounding has always been an integral part of pharmacy practice. The increasing demand worldwide for personalized drug treatments might be accommodated by an increase in magistral compounding. The new, flexible technology of 3D medicine printing could advance this process even further. However, the issue of how 3D medicine printing can be implemented within the existing magistral compounding infrastructure has not been explored.

AIMS

To investigate how 3D printing can be integrated into the existing compounding system by taking regulatory, economic, and profession-oriented aspects into account.

METHODS

Semi-structured interviews were conducted with relevant Dutch stakeholders representing various health institutions, such as health ministries and boards, professional bodies, and different types of pharmacies. Participants were identified through purposeful sampling. Content analysis was applied to identify the main themes.

RESULTS

A total of 15 Dutch stakeholders were interviewed. It was found that the prevalence of compounding in community pharmacies in the Netherlands has decreased as a result of the practice shifting to specialized compounding pharmacies due to higher costs, lack of space, and the need to fulfill quality requirements. All interviewees considered 3D printing to be a promising compounding technique for community pharmacies, as it offers an automated approach with high digital flexibility and enables adapted formulations, including 'polypills.' Regulatory and quality assurance challenges were considered comparable to those of normal magistral products; however, there remain pending regulatory issues regarding quality control, particularly for Active Pharmaceutical Ingredients containing intermediate feedstock materials (e.g., prefilled cartridges) in 3D printing. 3D printing was believed to become cost effective over time.

CONCLUSION

In the Netherlands, specialized compounding pharmacies have largely taken over compounding activities. 3D printing could be introduced within this system; however, challenges regarding how to regulate prefilled cartridges have yet to be addressed. Compounding using 3D printing in regular community pharmacies could enhance patients' individualized treatment; however, this activity would require incentives to stimulate the return of compounding to normal pharmacy practice.

Digital health: trends, opportunities and challenges in medical devices, pharma and bio-technology

Digital health interventions refer to the use of digital technology and connected devices to improve health outcomes and healthcare delivery. This includes telemedicine, electronic health records, wearable devices, mobile health applications, and other forms of digital health technology. To this end, several research and developmental activities in various fields are gaining momentum. For instance, in the medical devices sector, several smart biomedical materials and medical devices that are digitally enabled are rapidly being developed and introduced into clinical settings. In the pharma and allied sectors, digital health-focused technologies are widely being used through various stages of drug development, viz. computer-aided drug design, computational modeling for predictive toxicology, and big data analytics for clinical trial management. In the biotechnology and bioengineering fields, investigations are rapidly growing focus on digital health, such as omics biology, synthetic biology, systems biology, big data and personalized medicine. Though digital health-focused innovations are expanding the horizons of health in diverse ways, here the development in the fields of medical devices, pharmaceutical technologies and biotech sectors, with emphasis on trends, opportunities and challenges are reviewed. A perspective on the use of digital health in the Indian context is also included.

Design, Fabrication and Characterization of Biodegradable Composites Containing Closo-Borates as Potential Materials for Boron Neutron Capture Therapy

Boron neutron capture therapy (BNCT) has been recognized as a very promising approach for cancer treatment. In the case of osteosarcoma, boron-containing scaffolds can be a powerful tool to combine boron delivery to the tumor cells and the repair of postoperative bone defects. Here we describe the fabrication and characterization of novel biodegradable polymer composites as films and 3D-printed matrices based on aliphatic polyesters containing closo-borates (CB) for BNCT. Different approaches to the fabrication of composites have been applied, and the mechanical properties of these composites, kinetics of their degradation, and the release of closo-borate have been studied. The most complex scaffold was a 3D-printed poly(ε-caprolactone) matrix filled with CB-containing alginate/gelatin hydrogel to enhance biocompatibility. The results obtained allowed us to confirm the high potential of the developed composite materials for application in BNCT and bone tissue regeneration.

The Evolution of the 3D-Printed Drug Delivery Systems: A Review

Since the appearance of the 3D printing in the 1980s it has revolutionized many research fields including the pharmaceutical industry. The main goal is to manufacture complex, personalized products in a low-cost manufacturing process on-demand. In the last few decades, 3D printing has attracted the attention of numerous research groups for the manufacturing of different drug delivery systems. Since the 2015 approval of the first 3D-printed drug product, the number of publications has multiplied. In our review, we focused on summarizing the evolution of the produced drug delivery systems in the last 20 years and especially in the last 5 years. The drug delivery systems are sub-grouped into tablets, capsules, orodispersible films, implants, transdermal delivery systems, microneedles, vaginal drug delivery systems, and micro- and nanoscale dosage forms. Our classification may provide guidance for researchers to more easily examine the publications and to find further research directions.

Adjunct Digital Interventions Improve Opioid-Based Pain Management: Impact of Virtual Reality and Mobile Applications on Patient-Centered Pharmacy Care

Digital therapeutics (DTx, mobile medical apps, software as a medical device) are rapidly emerging as clinically effective treatments for diverse chronic diseases. For example, the Food and Drug Administration (FDA) has recently authorized a prescription virtual reality (VR) app for treatment of moderate to severe low back pain. The FDA has also approved an adjunct digital therapy in conjunction with buprenorphine for opioid use disorder, further illustrating opportunities to integrate digital therapeutics with pharmacotherapies. There are ongoing needs to disseminate knowledge about advances in digital interventions among health care professionals, policymakers, and the public at large. This mini-review summarizes accumulating clinical evidence of digital interventions delivered via virtual reality and mobile apps to improve opioid-based analgesia. We identified relevant randomized controlled trials (RCTs) using Embase and PubMed databases which reported pain scores with a validated pain scale (e.g., visual analog scales, graphic rating scale, numeric rating scale) and use of a digital intervention in conjunction with opiates. Among identified RCTs, the majority of studies reported improved pain scores in the digital intervention group, as compared to “treatment as usual” group. Our work suggests that VR and mobile apps can be used as adjunct digital therapies for pain management. We discuss these findings in the context of how digital health technologies can transform patient-centered pharmacy care.

The Advent of a New Era in Digital Healthcare: A Role for 3D Printing Technologies in Drug Manufacturing?

The technological revolution has physically affected all manufacturing domains, at the gateway of the fourth industrial revolution. Three-dimensional (3D) printing has already shown its potential in this new reality, exhibiting remarkable applications in the production of drug delivery systems. As part of this concept, personalization of the dosage form by means of individualized drug dose or improved formulation functionalities has concentrated global research efforts. Beyond the manufacturing level, significant parameters must be considered to promote the real-time manufacturing of pharmaceutical products in distributed areas. The majority of current research activities is focused on formulating 3D-printed drug delivery systems while showcasing different scenarios of installing 3D printers in patients' houses, hospitals, and community pharmacies, as well as in pharmaceutical industries. Such research presents an array of parameters that must be considered to integrate 3D printing in a future healthcare system, with special focus on regulatory issues, drug shortages, quality assurance of the product, and acceptability of these scenarios by healthcare professionals and public parties. The objective of this review is to critically present the spectrum of possible scenarios of 3D printing implementation in future healthcare and to discuss the inevitable issues that must be addressed.

Advancing pharmacy and healthcare with virtual digital technologies

Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally. From the different technologies, virtual tools including artificial intelligence, blockchain, virtual, and augmented reality, to name but a few, are providing significant benefits to patients and the pharmaceutical sector alike, ranging from improving access to clinicians and medicines, as well as improving real-time diagnoses and treatments. Indeed, it is envisioned that such technologies will communicate together in real-time, as well as with their physical counterparts, to create a large-scale, cyber healthcare system. Despite the significant benefits that virtual-based digital health technologies can bring to patient care, a number of challenges still remain, ranging from data security to acceptance within the healthcare sector. This review provides a timely account of the benefits and challenges of virtual health interventions, as well an outlook on how such technologies can be transitioned from research-focused towards real-world healthcare and pharmaceutical applications to transform treatment pathways for patients worldwide.

Potential next-generation medications for self-administered platforms

The Coronavirus Disease (COVID-19) pandemic has reshaped clinical chronic disease management. Patients reduced the number of physical clinic visits for regular follow-up care because of the pandemic. However, in developing countries, the scattered healthcare system hindered accessibility to clinical consultation, and poorly controlled chronic diseases resulted in numerous complications. Furthermore, the longer patients suffered from the chronic disease being treated, the more physical and psychological stress they experienced. “Diabetes Burnout,” as an example, is a term to describe the phenomenon of psychological reluctance in long-term glycemic control. A comprehensive, patient-centered, and automatic drug administration and delivery model may reduce patient stress and increase compliance. Potential next-generation medication platforms, consisting of internal regulation and external interaction, may conduct autonomous dose adjustment and continuous selfmonitoring with the assistance of artificial intelligence, telemedicine, and wireless technologies. Internal regulation forms a closed-loop system in which drug administration is optimized in an implanted drug-releasing device according to a patient's physiopathological response. The other feature, external interaction, creates an ecosystem among patients, healthcare providers, and pharmaceutical researchers to monitor and adjust post-market therapeutic efficacy and safety. These platforms may provide a solution for self-medication and self-care for a wide variety of patients but may be life-changing for patients who live in developing countries where the healthcare system is scattered, as they could effectively remove healthcare barriers. As the technology matures, these self-administrated platforms may become more available and increasingly affordable, offering considerable impact to health and wellness efforts worldwide.

Machine Learning and Machine Vision Accelerate 3D Printed Orodispersible Film Development

Orodispersible films (ODFs) are an attractive delivery system for a myriad of clinical applications and possess both large economical and clinical rewards. However, the manufacturing of ODFs does not adhere to contemporary paradigms of personalised, on-demand medicine, nor sustainable manufacturing. To address these shortcomings, both three-dimensional (3D) printing and machine learning (ML) were employed to provide on-demand manufacturing and quality control checks of ODFs. Direct ink writing (DIW) was able to fabricate complex ODF shapes, with thicknesses of less than 100 µm. ML algorithms were explored to classify the ODFs according to their active ingredient, by using their near-infrared (NIR) spectrums. A supervised model of linear discriminant analysis was found to provide 100% accuracy in classifying ODFs. A subsequent partial least square algorithm was applied to verify the dose, where a coefficient of determination of 0.96, 0.99 and 0.98 was obtained for ODFs of paracetamol, caffeine, and theophylline, respectively. Therefore, it was concluded that the combination of 3D printing, NIR and ML can result in a rapid production and verification of ODFs. Additionally, a machine vision tool was used to automate the in vitro testing. These collective digital technologies demonstrate the potential to automate the ODF workflow.

Scenarios for 3D printing of personalized medicines - A case study

Background

3D printing is a promising new technology for medicines' production. It employs additive manufacturing techniques, and is ideal for producing personalized medicines (e.g., patient-tailored dose, dosage form, drug release kinetics).

Objective

To investigate how 3D printing technologies can be implemented in a European pharmaceutical system, by suggesting different scenarios and assessing aspects that could affect its implementation.

Method

Qualitative, semi-structured interviews were conducted with key stakeholders (e.g., from ministry, authorities, research organizations, pharmacies) in the Netherlands to elicit perspectives on 3D printing of personalized medicines. The Netherlands were chosen since it has a strong tradition in compounding. Five general scenarios were investigated: placing the 3D printers in industry, community pharmacies, hospital pharmacies, compounding facilities, and in patients' homes. Content analysis was used, building on verbatim transcripts.

Results

Fifteen stakeholders were interviewed. Regulatory, economic, ethical and organizational challenges were identified to varying degrees in the different scenarios. The industry and home scenarios were associated with the most challenges, hospital pharmacies and compounding facilities with the least. Other important aspects identified were the role of community pharmacies, and who should design the tablets to be printed.

Conclusion

All potential scenarios for 3D printing of personalized medicines include challenges. These should be taken into account when pursuing the use of 3D printing of medicine.

Data-Enriched Edible Pharmaceuticals (DEEP) with Bespoke Design, Dose and Drug Release

Data-enriched edible pharmaceuticals (DEEP) is an approach to obtain personalized medicine, in terms of flexible and precise drug doses, while at the same time containing data, embedded in quick response (QR) codes at a single dosage unit level. The aim of this study was to fabricate DEEP with a patient-tailored dose, modify drug release and design to meet patients' preferences. It also aimed to investigate physical stability in terms of the readability of QR code patterns of DEEP during storage. Cannabinoids, namely, cannabidiol (CBD) and delta-9-tetrahydrocannabinol (THC), were used as the model active pharmaceutical ingredients (APIs). Three different substrates and two colorants for the ink were tested for their suitability to fabricate DEEP by desktop inkjet printing. Flexible doses and customizable designs of DEEP were obtained by manipulating the digital design of the QR code, particularly, by exploring different pattern types, embedded images and the physical size of the QR code pattern. Modification of the release of both APIs from DEEP was achieved by applying a hydroxypropyl cellulose (HPC) polymer coating. The appearance and readability of uncoated and polymer-coated DEEP did not change on storage in cold and dry conditions; however, the HPC polymer layer was insufficient in preserving the readability of the QR code pattern in the extreme storage condition (40 °C and 75% relative humidity). To sum up, the DEEP concept provides opportunities for the personalization of medicines, considering also patients' preferences.

Manufacturing and Examination of Vaginal Drug Delivery System by FDM 3D Printing

Vaginal drug delivery systems can provide a long-term and constant liberation of the active pharmaceutical ingredient even for months. For our experiment, FDM 3D printing was used to manufacture the vaginal ring samples from thermoplastic polyurethane filament, which enables fast manufacturing of complex, personalized medications. 3D printing can be an excellent alternative instead of industrial manufacturing, which is complicated and time-consuming. In our work, the 3D printed vaginal rings were filled manually with jellified metronidazole or chloramphenicol for the treatment of bacterial vaginosis. The need for manual filling was certified by the thermogravimetric and heatflow assay results. The manufactured samples were analyzed by an Erweka USP type II Dissolution Apparatus, and the dissolution profile can be distinguished based on the applied jellifying agents and the API's. All samples were considered non-similar based on the pairwise comparison. The biocompatibility properties were determined by prolonged MTT assay on HeLa cells, and the polymer could be considered non-toxic. Based on the microbiological assay on E. coli metronidazole and chitosan containing samples had bactericidal effects while just metronidazole or just chitosan containing samples bacteriostatic effect. None of these samples showed a fungistatic or fungicide effect against C. albicans. Based on our results, we successfully manufactured 3D printed vaginal rings filled with jellified metronidazole.

Manipulations of Oral Medications in Paediatric Neurology and Oncology Care at a Swedish University Hospital: Health Professionals' Attitudes and Sources of Information

Oral administration of medications to children requires age-appropriate dosage forms and strengths. In this study, we: (i) assessed the extent of oral dosage form manipulations, (ii) documented how it is carried out, and (iii) examined the attitudes and sources of information regarding the handling from healthcare professionals. Prospective reviews of electronic records, ward observations, and clinician surveys were performed at a paediatric neurology ward and a paediatric oncology ward in Sweden during April to May of 2018. Approximately 15% of oral medications were manipulated for the studied patient group (median age 12.9 years in oncology, 5.8 years in neurology) with approximately 30% of the patients having an enteral feeding tube. Manipulations were performed both to obtain an appropriate dose from, for example, a fraction of the original tablet or to obtain a powder that could be used to prepare a slurry for administration through enteral feeding tubes. Risks identified were related to patient safety such as cross contamination, suboptimal absorption/pharmacokinetics and inaccurate dose. When examining the working environment of nurses, we observed safe handling of hazardous substances but the nurses occasionally experienced stress and a fear of making mistakes due to absence of information. Paediatricians experienced a lack of time to search for proper information on manipulations. As a step towards improving safety in paediatric medication, we suggest the introduction of clinical pharmacists into the team and further evaluating the possibilities of using more ready-to-administer medications with necessary product information and pharmacovigilance support.