AUG 22, 2013 02:00 PM PDT

Translation and Clinical Application of Innovative Genomic Analysis: Challenges Remain

Speakers
  • Chief Medical Officer, Life Technologies
    Biography
      Board certified internist and clinical geneticist Dr. Paul R. Billings serves as Chief Medical Officer, a new position aimed at improving patient care through expanding the use of medically relevant genomic technologies in clinical settings. Dr. Billings brings extensive expertise and clinical experience in the areas of genomics and molecular medicine. Most recently, he served as Director and Chief Scientific Officer of the Genomic Medicine Institute at El Camino Hospital, the largest community hospital in the Silicon Valley. He currently serves as a member of the United States Department of Health and Human Services Secretary's Advisory Committee on Genetics, Health and Society, where he helps shape policy in the rapidly evolving field of genomic medicine. Dr. Billings has had a distinguished career as a physician and researcher. He has been a founder or chief executive officer of companies involved in genetic and diagnostic medicine, including GeneSage, Omicia and CELLective Dx Corporation. Previously, he was senior vice president for corporate development at Laboratory Corporation of America Holdings (LabCorp). He has held academic appointments at some of the most prestigious universities in the United States, including Harvard Medical School, Stanford School of Medicine and the University of California, Berkeley, and has served as a physician at a number of medical centers throughout the country, including the University of California, San Francisco. He is the author of nearly 200 publications and books on genomic medicine. Dr. Billings holds an M.D. from Harvard Medical School and a Ph.D. in immunology, also from Harvard University.

    Abstract:
    The role of the human genome in normal and patho-biology is crucial. Applied in cancer care and in a variety of unknown disorder settings, it can provide key insights and crucial diagnostic/prognostic/predictive/other information. Its methods can also help improve clinical practices already provided. But many challenges remain that could delay its beneficial application, increase errors, or add unnecessary costs. In this talk, I will review the field of clinical genomic analysis generally and then focus on important challenges in its translation and clinical applications.

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