Skip Navigation
Click Subscribe to join the NIH Calendar of Events e-mail list or Sign In to add or modify your events.  

Event Details

    E-mail this page E-mail this page
 

EVENT DESCRIPTION  
 
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
 
Special Instructions:  To arrange sign language interpretation for an event go to the Office
of Research Services (ORS) Interpreting Service Requests web page.
 

EVENT DATE/TIME  
 
Date/Time: 
Tuesday, October 03, 2017   11:00am - 12:00pm Add To Outlook Calendar     Add To iCal Calendar     Add To Entourage Calendar
 
  Click on MS Outlook Calendar Icon (MS Outlook) or Mac iCal Calendar Icon (Mac iCal) or Entourage Calendar Icon (MS Entourage for MAC) to add an event into your Calendar. Need Help?

EVENT SPEAKER(S)  
 
Name:   Purvesh Khatri Ph.D.
Title:   Assistant Professor of Medicine and Biomedical Data Science
Organization:   Stanford University
City/Province:   Standford
State:   California
 

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

EVENT LOCATION  
 
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
 

EVENT CONTACT(S)  
 
Name:   Jessica Mann
E-mail:   jessica.mann@nih.gov
Phone:   301-451-2043
 
Name:   Tiffiany Jones
E-mail:   tiffiany.jones@nih.gov
Phone:   301-402-7979
 
 
 
 
 
View by: Day | Week | Month | Year

Calendar Home Page | Feedback | NIH Home Page