Welcome to precisionFDA

Welcome to PrecisionFDA

A secure, collaborative, high-performance computing platform that builds a community of experts around the analysis of biological datasets in order to advance precision medicine, inform regulatory science, and enable improvements in health outcomes.

Expert Spotlight:
Revisiting Personalized Medicine through Genomics


Snehit Prabhu
Stanford University

The term _Personalized Medicine_ began appearing in published literature around 1999, described as a practice enabling physicians to identify and treat patients based on their unique characteristics (Jain, 2002). Somewhere in the course of its history, the Personalized Medicine revolution was rebranded as the Precision Medicine revolution (Doltson & Søgaard, 2011). Primary among reasons cited for this rebranding effort was addressing public misconception of the word "personalized", which suggested an ability to tailor-make drugs for each patient. _Precision Medicine_ seemed better suited to convey the use of new molecular technologies for fine-grained disease classification. Indeed, it was our newfound ability to describe a disease in millions of dimensions (i.e., using its molecular signature) that would drive better health outcomes. The new phrase focused the public's intuition on next-generation diagnostic technologies rather than bespoke therapeutic technologies. [read more at the full blog]

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Community Participants
Personalis
Seracare
Sequenom
Emory Genetics Lab
Roche
NIH
Broad Institute
DNAnexus
Edico Genome
Macrogen
Human Longevity Inc.
Crystal Genetics
Illumina
23andMe
GeneDx
NIST
White House Office of Science and Technology Policy
American Heart Association
Baylor College of Medicine
Garvan
US House of Representatives
Natera
PharmGKB
Qiagen
Counsyl
Intel
Blueprint Genetics
Centers for Disease Control and Prevention
George Washington University
NCI
Georgetown University
Veterans Health Administration (VHA) Innovation Ecosystem

Dr. Lester Carter
Dr. Euan Ashley
Dr. Teri Klein
Dr. Dennis P. Wall
Rachel Goldfeder
Hans Nelsen
Dr. Russ Altman
Dr. Peter Tonellato
Mark Woon
Dr. Snehit Prabhu
Dr. Mark Wright

The comparison framework uses open-source software by Real Time Genomics

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