AI in Biomedical Research @ NIH Seminar Series
Custom AI Deployments to Keep Data Conversations (“chats”) Current
When: Nov. 14th, 2024 1:00 pm - 2:00 pm
Seminar Series Details:
About David Reif, Ph.D. (NIEHS)
Branch Chief and Senior Scientist, Predictive Toxicology Branch
Division of Translational Toxicology
National Institute of Environmental Health Sciences
About this Class
The accessibility of artificial intelligence/machine learning (AI/ML) tools has taken off in recent years. This democratization of advanced analytics has the potential to revolutionize predictive toxicology, especially for applications that generate massive, multimodal data. Realizing this promise will require tools tuned to learn from trusted sources that can evolve as new data emerge. This talk will describe such efforts at NIEHS using data that range in scale from lab-based behavioral experiments to epidemiological-scale geospatial data.
- Meeting number:
- 2318 207 2771
- Password:
- 5DMpVr5Mt5@
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Dial 23182072771@cbiit.webex.comYou can also dial 173.243.2.68 and enter your meeting number.
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1-650-479-3207 Call-in number (US/Canada)Access code: 2318 207 2771