Nutrigenomics and Precision Lifestyle Medicine
Big Data Made Simple and Clinically Actionable with Opus23 Explorer
While complex chronic disease is growing at epidemic proportions in the Western industrialized counties, clinical medicine is generally at a loss stem the tide of this epidemic. Big data, machine learning and artificial intelligence presents great hope in unraveling some of the causes by analyzing connections between specific patterns involving genomics, microbiomics, proteomics, and metabolomics and the development of specific disorders. However, big-data is complicated and involves massive numbers of variables and complex networks.
How does a clinician make any sense of this emerging information and leverage it in their clinical approach to complicated patient cases? This presentation will look at some of these issues from a practicing clinician’s perspective and will focus on how to parse through and curate meaningful genomic information (SNPs) utilizing a state-of-the-art medical informatics platform, Opus23 Explorer, including the deciphering of complex multi-SNP network mappings.
The Opus23 Explorer platform was developed by Dr. Peter D’Adamo at the Center of Excellence in Generative Medicine at the University of Bridgeport and is now being used both by researchers in major academic centers of excellence and by clinicians in private practice settings internationally.
This presentation was made February 2020 at the Integrative Healthcare Symposium (IHS)-2020. Visit Integrative Healthcare Symposium.
Author David M. Brady, ND, DC, CCN, DACBN, IFMCP
Dr. David M. Brady has almost 30-years of experience as an integrative medicine practitioner and over 25 years in health sciences academia. He is a licensed naturopathic medical physician in Connecticut and Vermont, is board certified in functional medicine and clinical nutrition, a fellow of the American College of Nutrition, and completed his initial clinical training as a doctor of chiropractic...