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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