Knowledge Mining & Bioinformatics Techniques to Advance
Personalized Medicine Diagnostics & Therapeutics:
The case for White Space R&D

Report to the U.S.National Science Foundation (NSF) on the Outcomes and Consensus Recommendations of the NSF-sponsored International Workshop, February 2012, in Florence, Italy

Electronic publication of U.S. National Science Foundation's Industry-University Cooperative Research Center for Advanced Knowledge Enablement

44 contributors representing 33 multi-disciplinary organizations from 11 countries and 8 US states
1 consensus: New directions needed for knowledge mining and bioinformatics tools to impact patient care
2 imperatives: Compress translational timeframe and crack the economic code of Personalized Medicine
3 calls to action: FILL the translational white-spaces, INNOVATE business models, and FACILITATE both

Dr. Ron Ribitzky, M.D., Principal Author & Chief Editor

Prof. Naphtali Rishe, Ph.D., co-author of the Report, NSF Principal Investigator, Chair of Scientific Steering Committee of the Workshop.

Prof. Eddy Karnieli,Ph.D., Prof. Yelena Yesha, Ph.D., and Ann Liebschutz, J.D., co-authors of the Report and Scientific Steering Committee of the Workshop.

Contemplating and exploring the next wave of compelling problems that are worth pursuing on a global-scale is exciting indeed. Yet this book takes it further.

This book is intended for worldwide audience of policy makers, program leaders, investors, and scientists from the public and the private sectors.

The public at large is kindly encouraged to explore certain fundamental sections that are not ‘rocket science’. By this we mean that they do not require medical, scientific, or technical knowledge to understand, deliberate on, and take action.

And so this book informs the U.S. and other governments seeking to fund high impact research: whether in the form of an exclusive national pursuit, collaborative multinational endeavor, or global partnership among the public sector, private sector, and academia.

With the generous support of the U.S. National Science Foundation and our respective organizations we convened top scientists, practitioners, and industry leaders from multiple disciplines to take a hard look at what needs to be developed to help the industry grow; and chart a path to compress the cycle time and economics from emerging technologies and methodologies to deployable high-impact, scientifically-sound industrial-grade solutions.


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