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Artificial Intelligence – A New Kid on the Block of Toxicology

March 30 @ 3:30 pm - 4:30 pm

The increasing pace of technological developments of computational methods in toxicology allows to call them “disruptive technologies.” The development of alternatives to traditional approaches for product development and safety assessment benefits from this.  The creation of large toxicological databases (“big data”) and data-mining technologies (“artificial intelligence”) allow predictive computational approaches on a new scale. As an example, our new automated read-across (RASAR, i.e. read-across-based structure-activity relationships) is given. Continuous optimization to include deep learning, metabolite prediction, biological deep phenotyping, chemicophysical descriptors etc. expand the use cases including potency prediction and Green Toxicology finding alternative chemistries. Such technological advances promise to be real “game-changers.”

Details

Date:
March 30
Time:
3:30 pm - 4:30 pm
Event Category:

Venue

Mary Ellen Jones – 3116
Mary Ellen Jones Building
Chapel Hill, NC 27599 United States
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