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From Big Data to Precision Medicine: Some Statistical Challenges
【2016.3.16 3:00pm, N613】

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 2016-3-9 

  Colloquia & Seminars 

  Speaker

Dr. Feifang Hu,Department of Statistics, George Washington University

  Title

From Big Data to Precision Medicine: Some Statistical Challenges

  Time

2016.3.16 15:00-16:00

  Venue

N613

  Abstract

Precision medicine (PM) (also called personalized medicine) is a medical model that proposes the customization of healthcare, with medical decisions, practices, and/or products being tailored to the individual patient. To develop precision medicine, we need new approaches to drug-development as following: (i) Collect more genomic Big Data directly from patients; (ii) Identify important biomarkers (genes) that seem to be linked with diseases based on Big Data; (iii) Develop precision medicine based on well designed clinical trials. In this talk, I will discuss some statistical challenges about big data and precision medicine. Then, I will propose some new adaptive designs (of clinical trials) to deal with the special features of precision medicine.   

  Affiliation

 

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