CME Talk by Dr. Uttam K. Sinha “Microbiome, Cancer and Deep Learning”
Uttam K. Sinha, MD, MS, FACS
Director, Head and Neck Surgery
Watt Chair, Head and Neck Cancer Research
Keck School of Medicine, University of Southern California
The participants will be familiar with the following:
The genetic diversity of humans is dictated by the allele frequencies of shared Homo sapiens genes and the genes within our microbial communities.
Microbial diversity and their relationship with cancer require comprehensive understanding of the complex interspecies interactions.
Such efforts will generate enormous data (“Big Data”).
Artificial intelligence (AI) has potential for analysis of such Big Data for clinical application.
The topic will highlight subsets of AI including Machine Learning (ML) and Deep Learning (DL).
ML and DL have potential to improve management of cancer and acute and chronic diseases.
The Keck School of Medicine of the University of Southern California is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.
The Keck School of Medicine of the University of Southern California designates this live activity for a maximum of 1 AMA PRA Category 1 Credit(s)TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.