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Event Type:  Lecture (This is an NIH Science event)
Title:  Heterogeneity and Dirty Data: Blessings in Disguise for Basic and Translational Research
Description:  Current experiment and analysis paradigm in biomedical and biological research is to reduce heterogeneity in the data to ensure the conclusions are not confounded by biological, technological and demographic factors. However, this paradigm does not account for the real-world patient population heterogeneity, which in turn requires replication in multiple independent cohorts prior to translation into clinical practice. Consequently, biomedical research today is slow and expensive. I will describe an analytic framework that turns the current paradigm on its head. This talk will focus on how heterogeneity across independent experiments can lead to identification of disease signatures that are diagnostic, prognostic, therapeutic and mechanistic across a broad spectrum of diseases including infections, autoimmune diseases, cancer, organ transplant, and vaccination. I will also discuss how biological and technical heterogeneity in publicly-available data can be leveraged to make translational medicine better, faster and cheaper.
Videocast:  Event will not be videocast
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of Research Services (ORS) Interpreting Service Requests web page.

Tuesday, October 03, 2017   11:00am - 12:00pm Add To Outlook Calendar     Add To iCal Calendar     Add To Entourage Calendar
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Name:   Purvesh Khatri Ph.D.
Title:   Assistant Professor of Medicine and Biomedical Data Science
Organization:   Stanford University
City/Province:   Standford
State:   California

Organization(s):  National Institute of Health - Center for Human Immunology

Location:  On the main NIH Campus
Building:  Building 10 (Clinical Center)
Room:  Hatfield Conference Room 4-3330
Street Address:  10 Center Drive
City:  Bethesda
State:  Maryland
Zip Code:  20892

Name:   Jessica Mann
Phone:   301-451-2043
Name:   Tiffiany Jones
Phone:   301-402-7979
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