RARECast: Diagnosing Rare Diseases with Facial Analysis

November 4, 2016

Harnessing the power of computers to diagnose rare, genetic diseases is not new idea, but Dekel Gelbman is using Big Data to analyze a patient’s phenotype as a clue to his or her genotype. His company FDNA has developed Face2Gene, a platform for analyzing an image of a patient’s face to help arrive at a diagnosis. We spoke to Gelbman about the challenges of diagnosing a rare disease, how Face2Gene works, and why it could accelerate the process of getting a diagnosis.

Daniel S. Levine is an award-winning business journalist who has reported on the life sciences, economic development, and business policy issues throughout his 25-year career. He founded Levine Media Group in 2013 to provide strategic communications to life sciences companies. He is host of The Bio Report and RARECast podcasts, a senior fellow at the Center for Medicine in the Public Interest, and a member of the advisory board of the California Biotechnology Council.

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