Machine Learning Toxicity Prediction: Latest Advances by Toxicity End Point-Reference-Cited by-同舟云学术

Machine Learning Toxicity Prediction: Latest Advances by Toxicity End Point

Published:2022-12-13 Issue:51 Volume:7 Page:47536-47546
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Cavasotto Claudio N.¹²³^ORCID,Scardino Valeria²⁴

Affiliation:

1. Computational Drug Design and Biomedical Informatics Laboratory, Instituto de Investigaciones en Medicina Traslacional (IIMT), CONICET-Universidad Austral, Pilar, B1629AHJ Buenos Aires, Argentina

2. Austral Institute for Applied Artificial Intelligence, Universidad Austral, Pilar, B1629AHJ Buenos Aires, Argentina

3. Facultad de Ciencias Biomédicas, Facultad de Ingenierá, Universidad Austral, Pilar, B1630FHB Buenos Aires, Argentina

4. Meton AI, Inc., Wilmington, Delaware 19801, United States

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c05693

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3. Trends in clinical success rates and therapeutic focus

4. The Current Status of Drug Discovery and Development as Originated in United States Academia: The Influence of Industrial and Academic Collaboration on Drug Discovery and Development

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