Academic medical centers as innovation ecosystems to address population -omics challenges in precision medicine

A scoping review of ethical aspects of public-private partnerships in digital health

Partnerships between public and private organizations in digital health can promote more accessible, affordable, and high-quality care, but they also raise ethical and governance challenges. We searched PubMed, EMBASE, and Web of Science, identifying 46 studies examining ethical aspects of digital health public-private partnerships (PPPs). Three key themes emerged: data privacy and consent, ensuring public benefit and access, and good governance and demonstrating trustworthiness. We provide recommendations for each theme. To foster responsible innovation, we conclude that early and contextual operationalisation of ethics guidelines in PPPs is necessary to balance respect for fundamental values with the pursuit of impactful innovation. If PPPs become more successful as a result, this contributes to reducing the research waste of failed collaborations. Further research should clarify the scope of PPPs and definition of 'public benefit', and we call for critical study on the 'economization' of digital health promoted by public and private sector organizations.

Health equity innovation in precision medicine: data stewardship and agency to expand representation in clinicogenomics

Most forms of clinical research examine a very minute cross section of the patient journey. Much of the knowledge and evidence base driving current genomic medicine practice entails blind spots arising from underrepresentation and lack of research participation in clinicogenomic databases. The flaws are perpetuated in AI models and clinical practice guidelines that reflect the lack of diversity in data being used. Participation in clinical research and biobanks is impeded in many populations due to a variety of factors that include knowledge, trust, healthcare access, administrative barriers, and technology gaps. A recent symposium brought industry, clinical, and research participants in clinicogenomics to discuss practical challenges and potential for new data sharing models that are patient centric and federated in nature and can address health disparities that might be perpetuated by lack of diversity in clinicogenomic research, biobanks, and datasets. Clinical data governance was recognized as a multiagent problem, and governance practices need to be more patient centric to address most barriers. Digital tools that preserve privacy, document provenance, and enable the management of data as intellectual property have great promise. Policy updates realigning and rationalizing clinical data governance practices are warranted.

External control arms: COVID-19 reveals the merits of using real world evidence in real-time for clinical and public health investigations

Randomized controlled trials are considered the 'gold standard' to reduce bias by randomizing patients to an experimental intervention, versus placebo or standard of care cohort. There are inherent challenges to enrolling a standard of care or cohorts: costs, site engagement logistics, socioeconomic variability, patient willingness, ethics of placebo interventions, cannibalizing the treatment arm population, and extending study duration. The COVID-19 pandemic has magnified aspects of constraints in trial recruitment and logistics, spurring innovative approaches to reducing trial sizes, accelerating trial accrual while preserving statistical rigor. Using data from medical records and databases allows for construction of external control arms that reduce the costs of an external control arm (ECA) randomized to standard of care. Simultaneously examining covariates of the clinical outcomes in ECAs that are being measured in the interventional arm can be particularly useful in phase 2 trials to better understand social and genetic determinants of clinical outcomes that might inform pivotal trial design. The FDA and EMA have promulgated a number of publicly available guidance documents and qualification reports that inform the use of this regulatory science tool to streamline clinical development, of phase 4 surveillance, and policy aspects of clinical outcomes research. Availability and quality of real-world data (RWD) are a prevalent impediment to the use of ECAs given such data is not collected with the rigor and deliberateness that characterizes prospective interventional control arm data. Conversely, in the case of contemporary control arms, a clinical trial outcome can be compared to a contemporary standard of care in cases where the standard of care is evolving at a fast pace, such as the use of checkpoint inhibitors in cancer care. Innovative statistical methods are an essential aspect of an ECA strategy and regulatory paths for these innovative approaches have been navigated, qualified, and in some cases published.

Pediatric pharmacogenomics: challenges and opportunities: on behalf of the Sanford Children's Genomic Medicine Consortium

The advent of digital, electronic, and molecular technologies has allowed the study of complete genomes. Integrating this information into drug development has opened the door for pharmacogenomic (PGx) interventions in direct patient care. PGx allows clinicians to better identify drug of choice and optimize dosing regimens based on an individual's genetic characteristics. Integrating PGx into pediatric care is a priority for the Sanford Children's Genomic Medicine Consortium, a partnership of ten children's hospitals across the US committed to the innovation and advancement of genomics in pediatric care. In this white paper, we review the current state of PGx research and its clinical utility in pediatrics, a largely understudied population, and make recommendations for advancing cutting-edge practice in pediatrics.

Bridging the Gaps in Personalized Medicine Value Assessment: A Review of the Need for Outcome Metrics across Stakeholders and Scientific Disciplines

Despite monumental advances in genomics, relatively few health care provider organizations in the United States offer personalized or precision medicine as part of the routine clinical workflow. The gaps between research and applied genomic medicine may be a result of a cultural gap across various stakeholders representing scientists, clinicians, patients, policy makers, and third party payers. Scientists are trained to assess the health care value of genomics by either quantifying population-scale effects, or through the narrow lens of clinical trials where the standard of care is compared with the predictive power of a single or handful of genetic variants. While these metrics are an essential first step in assessing and documenting the clinical utility of genomics, they are rarely followed up with other assessments of health care value that are critical to stakeholders who use different measures to define value. The limited value assessment in both the research and implementation science of precision medicine is likely due to necessary logistical constraints of these teams; engaging bioethicists, health care economists, and individual patient belief systems is incredibly daunting for geneticists and informaticians conducting research. In this narrative review, we concisely describe several definitions of value through various stakeholder viewpoints. We highlight the existing gaps that prevent clinical translation of scientific findings generally as well as more specifically using two present-day, extreme scenarios: (1) genetically guided warfarin dosing representing a handful of genetic markers and more than 10 years of basic and translational research, and (2) next-generation sequencing representing genome-dense data lacking substantial evidence for implementation. These contemporary scenarios highlight the need for various stakeholders to broadly adopt frameworks designed to define and collect multiple value measures across different disciplines to ultimately impact more universal acceptance of and reimbursement for genomic medicine.

Inflammation and coronary artery disease: from pathophysiology to Canakinumab Anti-Inflammatory Thrombosis Outcomes Study (CANTOS)

The worldwide prevalence of cardiovascular disease in general and atherosclerotic coronary artery disease in particular is a health and economic concern of unparalleled proportion. Despite a long history of astute observations beginning in 1575 made by Fallopius, followed by those of von Rokatansky, Virchow, Osler, and Ross, and incremental knowledge of the pathobiology of atherosclerosis to include varying stages of inflammation, response to internally and externally mediated vascular injury, and impaired homeostasis, gaps in the field's understanding persist. Here, we summarize the current scope of the problem for coronary artery disease, emerging constructs in its pathobiology and common clinical phenotypes, potentially useful biomarkers, clinical trials designed specifically to test the 'inflammation hypothesis' of disease, and the interface of pathobiology and precision medicine as a foundation for diagnosis, management, and future advances in the diagnosis, prognosis, natural history, prevention, and optimal management.

Using clinical genomic sequencing to guide personalized cancer therapy in China

Aim: To evaluate whether clinical genomic sequencing may benefit Chinese patients with stage IV cancer. Patients & methods: Chinese patients with cancer and their oncologists were provided with genomic sequencing results and corresponding clinical treatment recommendations based on evidence-based medicine, defined as CWES (clinical whole-exome sequencing) analysis. Chinese patients with stage IV cancer who failed the previous treatment upon receiving the CWES reports were included for analyzing the impact of CWES on clinical outcomes in 1-year follow-ups. Results: A total of 88.6% of 953 Chinese patients with cancer had clinically actionable somatic genomic alterations. Eleven patients followed the CWES reports, and 11 patients did not follow the CWES suggestions. The median progression-free survival of two groups were 12 and 4 months, and 45 and 91% of patients failed this round of therapy, respectively. Conclusion: The current study suggested that CWES has the potential to increase clinical benefits for Chinese patients with stage IV cancer.

The use of multiplexing technology in the immunodiagnosis of infectious agents

Traditionally, definitive diagnosis of infectious diseases is made by cultivation of the causative agent, while various antigens and antibodies as biomarkers of various diseases are detected by commercially available ELISA kits. PCR has emerged as a major innovation that greatly accelerated the accumulation of genomic and transcriptomic data, yet it has also revolutionized microbial diagnostics by enabling the detection of pathogen nucleic acid. Despite the advantages of and vast experience in ELISA and PCR, the next generation research and diagnostic tools have to fulfill the requirements of systems and synthetic biology era. Multiplex bead assays hold this promise by providing a more complete multi-parametric picture of the biological phenomenon of interest at a fraction of time, sample volume and cost required for conventional assay systems. To date, numerous multiplex bead assays have been described to detect multiple antigen, antibody and nucleic acid targets of both microbial pathogens and immune response. These assays have been successfully used in diagnostic, cohort screening and research setups.

The new era of precision population health: insights for the All of Us Research Program and beyond

Although precision medicine has made advances in individualized patient treatments, there needs to be continued attention on tailored population health and prevention strategies (often termed "precision population health"). As we continue to link datasets and use "big data" approaches in medicine, inclusion of diverse populations and a focus on disparities reduction are key components within a precision population health framework. Specific recommendations from the All of Us Research Program and the Precision Public Health Summit provide examples for moving this field forward.