Deep Learning for Diagnosing Disease
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  Ahna Girshick   Ahna Girshick
Head of Product and Partnerships


Wednesday, August 19, 2015
03:00 PM - 03:45 PM

Level:  Technical - Introductory

Deep learning algorithms have recently achieved transformative results in machine perception tasks such as image and voice recognition, but can they improve patient lives by being used for disease recognition? Properly diagnosing disease has typically been limited by human accuracy, report turn-around time, geographic and economic barriers, population-level generalizations and an explosion of digital information at the point of diagnosis. Enlitic’s mission is to assist doctors in making personalized diagnoses by giving them the right data-centered tools. Deep learning can automatically discover clinically-relevant features by first architecting a hierarchy of patterns (loosely modelled on the brain’s own neural networks) and then rapidly updating those patterns upon observing examples. Enlitic is developing a deep neural network of the entire human body that will offer a new way forward for doctors to gain immediate access to the most relevant clinical information across early forms of disease. Enlitic’s vision is to understand and build a network that captures not only emergent points of disease but identifies the interrelated anatomic, metabolic and genomic correlates that give rise to both, disease and health.

Ahna Girshick is Head of Product and Partnerships at Enlitic where she oversees the application of deep learning technology to solve high-impact medical problems such as the early detection of lung cancer. She is a computational neuroscientist by training, specialized in computer and biological vision, machine learning, and human-computer interaction. Her research has revealed that human brains integrate visual information according to statistically optimal algorithms. She has also investigated the algorithms underlying how our brains process art and digital displays. She holds a Ph.D. from UC Berkeley in Vision Science, and performed her postdoctoral research at New York University as an NIH Fellow. In her spare time she has moonlighted as a producer of creative music visualization apps with musicians Philip Glass and Björk.

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