At the two-day conference on personalized medicine that was hosted by Harvard Partners Center for Genetics and Genomics, industry leaders Reed Tuckson, Declan Doogan, Ralph Synderman, Mara Aspinall, Bruce Korf, Michael Svinte, and Jeffrey Miller, unanimously agreed that personalized medicine will change the practice of medicine and drug development but expressed grave concern at the lack of appropriate medical education currently available to bring that paradigm shift to fruition. Reed Tuckson said there are warning signs that the healthcare system is in crisis and that aggregation of medical data can be used to predict the risk of disease. Declan Doogan said the physical exam of the future will measure various lifestyle and environmental factors, including serum proteomics, gene expression, and molecular profiles of tumors. Ralph Synderman said the second transformation in healthcare (following the introduction of science into medicine over a century into the past) will occur in which the aim will be to shift detection of disease earlier in the cycle. Informatics will drive the second medical revolution. Mara Aspinall urges the pharmaceutical and payer industries to overcome fears of smaller markets and another layer of cost respectively. She says only a wide educational effort, beginning in medical schools, can reduce the fear of new genetic diagnostic tests. Bruce Korf noted that under 40% of medical schools run a genetics course and cites medical informatics as a disruptive technology. Michael Svinte said IBM is supporting individualized, optimized medicine and pointed to IBM collaboration with Cleveland Clinic to build a platform for integrate imaging data and another collaboration with LineaGen to include genealogical and high throughput data, as well as electronic medical records, in autoimmune research. Jeffrey Miller said there is a need for powerful documentation systems and a direction away from the process level and toward a model that is much more object-oriented... from structural programming toward object programming.