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PPPM (Predictive, Preventive and Personalized Medicine) as a nove | 8432
Translational Medicine

Translational Medicine
Open Access

ISSN: 2161-1025

+44 1223 790975

PPPM (Predictive, Preventive and Personalized Medicine) as a novel avenue and a source of new translational tools to predict and to prevent chronic autoimmune disorders


14th Annual Conference on Translational Medicine and Oncologists Meet

November 28-30, 2016 San Francisco, USA

Sergey Suchkov

I M Sechenov First Moscow State Medical University and A.I.Evdokimov Moscow State Medical & Dental University,Moscow, Russia
ISPM (International Society for Personalized Medicine), Tokyo, Japan
PMC (Personalized Medicine Coalition), Washington, DC, USA
EPMA (European Association for Predictive, Preventive and Personalized Medicine), Brussels, EU

Scientific Tracks Abstracts: Transl Med

Abstract :

Autoimmune diseases (ADs) are a family of complex heterogeneous disorders with similar underlying mechanisms characterized by immune responses against self. The link that might exert reliable control over morbidity, mortality and disabling rates and significantly optimize the cost of treatment for the latter is just Predictive, Preventive and Personalized Medicine (PPPM). And a combination of genomic and proteomic biomarkers are becoming of great significance to predict risks of the chronification. Although a single biomarker is a tangible entity that can be easily understood, aggregate measures comprised of multiple genes are also informative as the combinatorial biomarkers. The simultaneous addition of combinatorial biomarkers of autoimmune disorders to the score index panel substantially improves he risk stratification fordeath and disabling. And there is urgent clinical need to identify predictive combinatorial biomarkers for subclinical PIFAS (post-infectious autoimmune syndrome) to allow preventive/treatment strategies to be instituted early in the disease running. Thus, the need for biomarkers of newer generations, newer algorithms and software applications to support integrative data analysis and to secure the databanks becomes critical to the discovery of linkages and concordance between different data types such as genomics-, proteomics-, immunomics-, metabolomics- and clinically-rooted. PPPM is thus a model of healthcare services being tailored to the individual and dictates a construction of PPPM-based algorithms to diagnose, predict, and to prevent autoimmune conditions in time!

Biography :

Sergey Suchkov was born in the City of Astrakhan, Russia, in a dynasty medical doctors, graduated from Astrakhan State Medical University and was awarded with MD. Then maintained his PhD and Doctor Degree. And later was working for Helmholtz Eye Research Institute in Moscow, Moscow Clinical Research Institute (MONIKI). Dr Suchkov was a Secretary-in-Chief of the Editorial Board, Biomedical Science, an international journal published jointly by the USSR Academy of Sciences and the Royal Society of Chemistry, UK. At present, Dr Sergey Suchkov is a Chair of Dept of Personalized Medicine, I.M.Sechenov First Moscow State Medical University, and Secretary General, United Cultural Convention (UCC), Cambridge, UK; a member of the: New York Academy of Sciences, American Chemical Society (ACS), American Heart Association (AHA), AMEE, Dundee, UK; EPMA, Brussels, EU; PMC, Washington, DC, USA and ISPM, Tokyo, Japan.

Email: ssuchkov57@gmail.com

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