Artificial Intelligence in Toxicology: The Good, the Bad, and the Overfit
| Title: | Artificial Intelligence in Toxicology: The Good, the Bad, and the Overfit |
|---|---|
| Authors: | Joseph L. Bundy |
| Publication Year: | 2024 |
| Collection: | United States Environmental Protection Agency: Figshare |
| Subject Terms: | Toxicology (incl. clinical toxicology); High Throughput Transcriptomics; Molecular Initiating Events; Machine Learning; New Approach Methods (Alternatives to Animal Testing) |
| Description: | Presentation to HEEDS EDC-North Carolina Working Group Fourth Annual Scientific Meeting Search for CCTE records in EPA’s Science Inventory by typing in the title at this link. https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25 |
| Document Type: | conference object |
| Language: | unknown |
| Relation: | https://figshare.com/articles/presentation/Artificial_Intelligence_in_Toxicology_The_Good_the_Bad_and_the_Overfit/25564251 |
| DOI: | 10.23645/epacomptox.25564251.v1 |
| Availability: | https://doi.org/10.23645/epacomptox.25564251.v1; https://figshare.com/articles/presentation/Artificial_Intelligence_in_Toxicology_The_Good_the_Bad_and_the_Overfit/25564251 |
| Rights: | CC0 |
| Accession Number: | edsbas.3FD0F6C1 |
| Database: | BASE |