Sergey Suchkovm William Thilly, Daniel Scherman, Shawn Murphy, David Smith, Hiroyuki Abe, R. Holland Cheng, Trevor Marshall
Dept for Personalized Medicine, Precision Nutriciology & Biodesign and Scientific Director the Institute for Global Health, Moscow State University for Food Industry (MGUPP) Department for Clinical Allergology & Immunology, A.I. Evdokimov Moscow State University of Medicine & Dentistry, Moscow, Russia EPMA, Brussels, EU PMC, Washington, USA ISPM, Tokyo, Japan Autoimmunity Research Foundation, Los Angeles, USA Partners Healthcare and 8Harvard Medical School, Boston, USA ISPM, Tokyo, Japan MIT, Cambridge, MA, USA Centre de Recherche Pharmaceutique de Paris (CRP2); Faculté de Pharmacie, Université Paris Descarte, Centre National de la Recherche Scientifique, Unité de Technologies Chimiques et Biologiques pour la Santé (UTCBS) Inserm, Paris, France Mayo Clinic, Rochester, MN, USA College of Biological Sciences, University of California Davis, Davis, CA, USA
Scientific Tracks Abstracts: J Mol Genet Med
A new systems approach to diseased states and wellness result in a new branch in the healthcare services, namely, personalized and precision medicine (PPM). To achieve the implementation of PPM concept, it is necessary to create a fundamentally new strategy based upon the recognition of biomarkers and thus the targets to secure the grand future of drug design and drug discovery. Each decision-maker values the impact of their decision to use PPM on their own budget and well-being, which may not necessarily be optimal for society as a whole. It would be extremely useful to integrate data harvesting from different databanks for applications such as prediction and personalization of further treatment to thus provide more tailored measures for the patients resulting in improved patient outcomes, reduced adverse events, and more cost effective use of the latest health care resources including diagnostic (companion ones), preventive and therapeutic (targeted molecular and cellular) etc. PPM, genomics and AI are those of the most rapidly emerging areas of biomedical research and the most promising technologies for improving health care and health outcomes. Examples include the use of AI for improved DNA sequencing and SNP analysis to target specific cell and tissue types, biosensors for specific molecules in vivo, and point-of-care molecular diagnostic devices enabled by genomics- and AI tools.The enormous development of genomics research has raised great expectations concerning its impact on PPM aiming to customize medical practice with a focus on the individual, based on the use of genetic tests, identification of genomic biomarkers, and development of targeted drugs. Personal genomics is an area of genomics focusing specifically on the sequencing and analysis of one person’s genome, and then giving them their genomic information. The emphasis on individuals and genomic knowledge needs to be counterbalanced with the subjects’ understanding in their sociocultural, political, and economic contexts and with the equivalent investment in actions on the social determinants of health. The above-mentioned areas being an integral part of PPM is really an interdisciplinary research field that results from the application of the innovative genomic and AI tools to medicine and has the potential to significantly improve some canonical treatments, prevention, prophylaxis and rehabilitation. Specifically, in the field of PPM, it is expected to have a great impact in the near future due to its multiple advantages, namely its versatility to adapt a drug to cohorts of patients and/or persons-at-risk. For instance, multimodal genomic and AI-driven approaches may indeed become a key driver in harmonizing the needs of the various stakeholders by allowing cost-effective delivery and monitoring of drug efficiency and safety, and close-meshed high-quality data collection. Personal genomics can be used to advise couples wanting to have children. By knowing the risk of passing on a genetic disorder to their child, they may decide to investigate other ways of having a baby, such as in vitro fertilisation (IVF). Meanwhile, personalized genomic medicine and surgery (PGMS) represents a new approach to health care that customizes patients’ medical treatment according to their own genetic information. This new approach is the result of increased knowledge of the human genome and ways this information can be applied by physicians in the medical and surgical management of their patients. Currently, personal genome sequencing and testing is a relatively niche market with a number of services available over the internet. However, the commercialization of personal genome sequencing is set to grow and, in future, it could become a routine part of clinical practice. Genomic research and thus the market offer clinicians new techniques for risk assessment and disease classification. However, the scope of this new testing paradigm remains to be determined. Genetic tests should be seen as the latest set of tools to assist clinicians and patients in the decision-making process. Some genetic tests will undoubtedly play an important role in identifying individuals with high risks for preventable disease, or in refining clinical diagnoses. Irrespective of the number of genetic tests that prove clinically useful, genomic research will continue to provide essential new information about how and why diseases occur. The promise of PPM is well understood and exists at the convergence of genomic sequencing, biomarker research, and big data analysis. One of the big challenges to bringing more lifesaving PPM-based treatments to patients is that the vast networks of hospitals, foundations, and other organizations working toward new treatments and cures lack consensus on how to pursue their common goal. As a consequence, duplicative efforts and inefficiencies proliferate in this network. It will take a business mindset to overcome these obstacles. By virtue of treating each person's condition as unique, personal genomics and PPM require health professionals to understand the nature of the data, its health implications, and its limitations. But the public understanding ofthe scope and impact of genetic variation has not kept up with the pace of the science or technology. We examine several venues for information, including print and online guides for both lay and health-oriented audiences, and summarize selected resources in multiple formats. We also stress that implementation of PPM thus requires a lot before the current model “physician-patient” could be gradually displaced by a new model “medical advisorhealthy person-at-risk”. This is the reason for developing global scientific, clinical, social, and educational projects in the area of PPM to elicit the content of the new branch. In short, PPM will transform the way doctors practice and will shake up the entire pharmaceutical value chain.
Molecular and Genetic Medicine received 3919 citations as per Google Scholar report
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