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Data Science and Deep Learning in HealthCare & Pharma
# Data Science in Healthcare: Beyond the Hype ## Michael Becker In this talk, I'll cover the state of the art in predictive healthcare and help you get beyond all the hype. You will leave this talk with a better understanding of how you can apply your skills to make the healthcare system better for everyone! Bio: Michael Becker is a Senior Data Scientist at Penn Medicine where I’m building machine learning systems to improve patient outcomes by providing predictive applications that empower clinicians to identify at-risk individuals. In my spare time I organize the DataPhilly Meetup group and despite being terrified of public speaking I present regularly at community events and conferences. # Deep Learning in Drug Discovery & Development ## Sean Grullon An enormous barrier stands in the way of scientists developing new medications: the estimated US$2.6-billion price tag and the twelve-year timescale of developing a successful treatment. Few people doubt the need to develop drugs differently. Deep learning has revolutionized areas such as image recognition, voice recognition, and natural language processing. This success is due to in part its capability of automatically constructing high-level features from raw input data. Pharmaceutical drug development is a data-rich industry, but biological data are complex and often poorly understood. Under the leadership of the new president of R&D Hal Barron, GlaxoSmithKline is investing in deep learning methods as a means for speeding up and aiding drug discovery and development. An overview of applications of deep learning in Drug Discovery and Development will be presented. Bio: Sean Grullon is a Machine Learning Engineer at GlaxoSmithKline, where he collaborates with research scientists to apply Machine Learning and Artificial Intelligence techniques to drug discovery. Prior to GSK, Sean was a Data Scientist at IBM Watson Health consulting with pharmaceutical companies and health care providers on how machine learning approaches able data-driven decisions. Sean holds a Ph.D. in Particle Physics from the University of Wisconsin - Madison, where he searched for subatomic particles called neutrinos with the IceCube Neutrino Observatory at the South Pole.

LeBow College of Business

3220 Market Street · Philadelphia

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    DataPhilly is a community run group for anyone interested in gaining insights from data. Topics include (but are not limited to) predictive analytics, applied machine learning, big data, data warehousing and data science. We <3 data!

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