The Human Health Exposure Analysis Resource (HHEAR) is hosting a series of webinars on several topics important to exposomics, a rapidly evolving approach in the contemporary biomedical sciences, which involves characterizing the totality of exposures and their effects on our health since conception.
The fifth webinar in this series will take place Friday, September 16, at 1 p.m. EDT. Chirag Patel Ph.D., of Harvard Medical School and Arcot Rajasekar, Ph.D., of UNC School of Information and Library Science will discuss the Joining Forces of Data Science and the Exposome.
Exposomics datasets can be very large and originate from heterogeneous sources. Gaining meaningful insights from datasets can be streamlined by data science methods. These methods, including machine learning and artificial intelligence models, can help to discover relationships among phenotypes, biological responses, and exposures. In this webinar, Professor Rajasekar and Professor Patel will discuss the principles and applications of transdisciplinary data science approaches for analyzing exposomics datasets.
Registration for the September 16 event is now open:
Thanks to everyone who attended our July webinar. The recording of those discussions is now available:
- Translation of Exposomics to Precision Medicine and Precision Nutrition | Human Health Exposure Analysis Resource (HHEAR) Program (hhearprogram.org)
Lastly, don’t forget to periodically check the HHEAR Exposomics Webinar Series web page for future updates.