The AI-ML Drug Discovery is dedicated to pragmatic case studies of machine learning in action to augment your processes for increased efficiency.
The AI-ML Drug Discovery covers topics such as:
- Predictive preclinical models - knowing from the beginning how drug candidates will react when administered to in vivo and in vitro models
- Target, pathway and molecule selection - identifying which will treat individual disease indications better
- Identification of the patients who will react best to the treatment with minimal side effects for a guaranteed successful clinical trial
