1. Development of AI-based methods, open-access databases, and in-silico tools to find associations between approved drugs and new indications, as part of the
2. Prediction of clinical trial study outcome using deep learning algorithms
3. Development of AI-based drug-target interaction prediction methods
4. Deep text mining of new targets for approved drugs in the literature
5. Development of computational methods for drug selectivity scoring
6. Crowdsourced-based integration and harmonization of drug-target profiles, as extension of