There are 1 repository under drug-development topic.
benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, published in Cell Patterns 2022.
PyTrial: A Comprehensive Platform for Artificial Intelligence for Drug Development
Awesome list of the data and AI/ML related projects with direct Life Science Companies participation
Winning solution of the Novartis Data Science and Artificial Intelligence 2019/2020 competition
Non-compartmental pharmacokinetics analysis for Julia.
An iterative process that uses two machine learning models to generate the best inhibitors for a target protein to help reduce the time and cost of the drug discovery process
“Just because we are not ready for scientific progress does not mean it won’t happen.” - Jennifer A. Doudna
R package for translating between drug identifiers using the Chemical Translation Service (CTS)
Description of work done at Merck pharmaceutical company in the summer of 2018 as a Computational Drug Discovery Intern at West Point, PA. Information excludes all proprietary information belonging to Merck & Co.
가톨릭대학교 의과대학 약리학교실, Department of Pharmacology, College of Medicine http://pharmacology.catholic.ac.kr
Implementing AI in the Clinical Trial Process for Drug Development
Development version of ph2rand, an R package for the design of randomized comparative phase II oncology trials
Exploring off-patent and off-exclusivity drugs without an FDA-approved generic for gener8tor.
PharmAI are tools for Artificial intelligence in drug discovery and development