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Rapid Learning For Precision Medicine: A Big Data To Knowledge (BD2K) Initiative


February 21st, 2013

Proposal

The National Research Council’s Precision Medicine report found that it is imperative to create a new scientific base for biomedical research, clinical care, and public health that accurately reflects the genetic variations in diseases and in individual responses to therapies.

This proposal calls for using the nation’s rapidly expanding capabilities for computerized biomedical research to accomplish this goal as quickly as possible. Research databases and analyses for most diseases would be completed over the next three years (by the end of 2015).

Background

The US-led Human Genome Project was finished ten years ago (2003). In the past several years, key elements for moving forward on a Precision Medicine-type initiative have been coming together.

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Rapid Learning And Cancer Care: Time To Move Forward


June 29th, 2010

Editor’s Note: Below, Lynn Etheredge discusses the potential of a rapid learning system to improve the quality and efficiency of cancer care. Amy Abernethy also addresses this subject in another Health Affairs Blog post published today. Cancer is among the most complicated group of diseases to research and treat. The progress in the federal government’s […]

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