Tag: Drug

Machine learning innovation to develop chemical library for drug discovery

Machine learning innovation to develop chemical library
Purdue University scientists are using machine learning models to create new options for drug discovery pipelines. Credit: Purdue University/Gaurav Chopra

Machine learning has been used widely in the chemical sciences for drug design and other processes.

The models that are prospectively tested for new reaction outcomes and used to enhance human understanding to interpret chemical reactivity decisions made by such models are extremely limited.

Purdue University innovators have introduced chemical reactivity flowcharts to help chemists interpret reaction outcomes using statistically robust machine learning models trained on a small number of reactions. The work is published in Organic Letters.


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Topical Drug Development Workshop – Evolution of Science and Regulatory Policy 2 – 07/23/2020 – 07/24/2020




The U.S. Food and Drug Administration (FDA) in collaboration with the University of Maryland Center of Excellence in Regulatory Science and Innovation (M-CERSI) will host a two-day virtual public workshop entitled, “Topical Drug Development – Evolution of Science and Regulatory Policy 2” on July 23-24, 2020. This workshop will bring together stakeholders from the FDA, academia, and industry to discuss recent advances in the assessment of dermal absorption using in vivo, in vitro, and in silico

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Advancing Animal Models for Antibacterial Drug Development – 03/05/2020 – 03/05/2020


Event Location

White Oak Campus: The Great Room

Conference Center

10903 New Hampshire Ave
Building 31, Room 1503
Silver Spring, MD 20993
United States

Summary: The Food and Drug Administration is holding a public workshop entitled “Advancing Animal Models for Antibacterial Drug Development.” The purpose of the public workshop is to discuss progress and challenges in the development and advancement of various animal models for serious infection funded by FDA, the National Institutes of Health (NIH), and the Biomedical Advanced Research and Development Authority (BARDA). This workshop is a follow up to the

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