At a recent MIT/Sloan Management School conference on Health Systems Innovation, MIT-Sloan Professor Retzef Levi laid out problems besetting a troubled US health care system. He emphasizing the need to “sow seeds now” for a “visionary, futuristic system” to reduce future illness–and health care costs. The conference featured experts from health, science, business and industrial fields who described promising technologies and roadblocks to change. Part I in this series of blogs describes some current and potential uses of artificial intelligence and machine learning–including IBM’s Watson. Part II lays out potential solutions in health care delivery and long term care. Part III focuses on issues and efforts in behavioral and population health–and roadblocks to change.
“Convergence science has advanced across many fronts, from nanotechnology to regenerative tissue,” says Nobel Laureate Phil Sharp of MIT. “But the funding allocated for convergence research in biomedical science is small and needs to be expanded. In fact, there is no federal agency with the responsibility to fund convergence in biomedical research.”
Healthbox has launched a competition in which up to 10 New England-based companies will be selected to receive $50,000 in seed funding, collaborative workspace, access to a mentor network and strategic guidance in three-month program to start in August. The application deadline is June 24.
New Cambridge Observer’s Anita Harris on BIO-IT World 2012, describing the promise and problems presented by burgeoning of health care data.
New Cambridge Observer : to harness and allow sharing of exponentially-developing genetic data, the Broad Institute will launch “Genome Space,”–a co-operative Web based tool aimed at “frictionless” data transfer, later this week.