Precise But (Not Yet) Personal

“President Obama’s new initiative to fund genetic sequencing could be a powerful tool for good in improving U.S. health care—but only if the medical establishment welcomes it.” That’s the view of Duke Chancellor Emeritus, Ralph Snyderman, MD in a recent article in The American Interest. In the article, he explains, “On January 30, 2015, President […]

Ten Years into Personalized Medicine: What We’ve Learned and What’s Next

Ralph Snyderman, M.D. ORIGINAL SOURCE Ten years ago, the sequencing of the entire human genome, along with the development of aggregate “omics” technologies began giving rise to a fundamentally new capability for the practice of medicine – the ability to predict and track disease risks on a personalized basis, to understand diseases mechanistically, and to […]

Personalized Health Care in 2013: A Status Report on the Impact of Genomics

Ralph Snyderman M.D. Dr. Snyderman, Chancellor Emeritus of Duke University Health System, and champion of personalized and prospective health care, updates his vision and predicts where we are heading next. “As Chancellor for Health Affairs at Duke University in the latter part of the 1990s, I recognized emerging opportunities to abandon our reactive, sporadic, ‘one […]

How Digital Technology Can Personalize Healthcare

Ralph Snyderman, M.D. ORIGINAL SOURCE: HUFFPOST HEALTHY LIVING – February 18, 2013 “Digital technology has transformed virtually all aspects of how we live, and now it’s ready to revolutionize health care. In The Creative Destruction of Medicine, Dr. Eric Topal makes a convincing argument that the digital revolution will deconstruct how health care is delivered. For […]

The Pull and Push of Personalized Health Care

Ralph Snyderman ORIGINAL SOURCE My interest in personalized health care began approximately a dozen years ago when as Chancellor for Health Affairs at Duke University, I realized that emerging sciences and technologies were creating medical capabilities never before known. Through the power of genomics, proteomics, metabolomics, systems biology, and bioinformatics, one could begin to predict […]