Advancing Environmental Health Research with Artificial Intelligence and Machine Learning: Session I — Chemical Mixtures, Properties, and Exposures and their Relationship to Human Health
Live Webinar: Monday, November 4, 2024, 2:00PM-4:00PM EST (19:00-21:00 GMT)
Sponsored by: The NIEHS Superfund Research Program (SRP)
The NIEHS Superfund Research Program (SRP) is hosting a Risk e-Learning webinar series focused on using artificial intelligence (AI) and machine learning to advance environmental health research. The series will feature SRP-funded researchers, collaborators, and other subject-matter experts who aim to better understand and address environmental health issues by applying AI and machine learning approaches to complex issues.
Recent advances in AI and machine learning methods show promise to improve the accuracy and efficiency of environmental health research. Over the course of three sessions, presenters will discuss how they use AI and machine learning approaches to improve chemical analysis, characterize chemical risk, understand microbial ecosystems, develop technologies for contaminant removal, and more.
In the first session, AI & ML Applications to Understand Chemical Mixtures, Properties, and Exposures and their Relationship to Human Health, speakers will discuss how they apply machine learning and artificial intelligence techniques to understand chemical exposures and their effects on human health.
To learn about and register for the other sessions in this webinar series, please see the SRP website.
Naomi Halas, PhD, Rice University
Ankit Patel, PhD, Rice University
Jacob Kvasnicka, PhD, U.S. EPA
Trey Saddler, NIEHS Translational Toxicology Division
Moderator:
David Reif, National Toxicology Program
- These materials will be available by Monday, November 4, 2024
Webinar Slides and References:
- These materials will be available by Monday, November 4, 2024
Additional Resources:
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It is EPA's policy to make reasonable accommodation to persons with disabilities wishing to participate in the agency's programs and activities, pursuant to the Rehabilitation Act of 1973, 29 U.S.C. 791. Any request for accommodation should be made to Dylan Williams at 202-982-5717 or dylan.williams@nih.gov, preferably one week or more in advance of the seminar, so that EPA will have sufficient time to process the request. EPA would welcome specific recommendations from requestors specifying the nature or type of accommodation needed. EPA welcomes specific recommendations from requestors specifying the nature or type of accommodation needed. Please note that CLU-IN provides both alternate phone call-in options and closed captioning for all webinars, and requests for these specific accommodations are not necessary.
Rehabilitation Act Notice for Reasonable Accommodation
It is EPA's policy to make reasonable accommodation to persons with disabilities wishing to participate in the agency's programs and activities, pursuant to the Rehabilitation Act of 1973, 29 U.S.C. 791. Any request for accommodation should be made to Dylan Williams at 202-982-5717 or dylan.williams@nih.gov, preferably one week or more in advance of the webinar, so that EPA will have sufficient time to process the request. EPA would welcome specific recommendations from requestors specifying the nature or type of accommodation needed. EPA welcomes specific recommendations from requestors specifying the nature or type of accommodation needed. Please note that CLU-IN provides both alternate phone call-in options and closed captioning for all webinars, and requests for these specific accommodations are not necessary.
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This webinar is intended solely to provide information to the public. The views and opinions expressed as part of this webinar do not necessarily state or reflect those of the U.S. Environmental Protection Agency. It is not intended, nor can it be relied upon, to create any rights enforceable by any party in litigation with the United States, or to endorse the use of products or services provided by specific vendors. With respect to this webinar, neither the United States Government nor any of their employees, makes any warranty, express or implied, including the warranties of merchantability and fitness for a particular purpose, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights.