AI3SD Video: Data Generation, Data Standards and Metadata Capture in Drug Discovery
Martin Immanuel-Bittner · ePrints Soton (University of Southampton) · 2020
Biomedical research and drug discovery are based on a continuous cycle of scientific findings being made, refined, and translated into new treatments. However, over recent years it has become clear that only a fraction of all published research findings are actually reproducible, causing waste and delays in our efforts to bring new drugs to patients. The answer is changing the way we generate and capture data, including experimental metadata. Especially in light of the increasing role of Artificial Intelligence in drug discovery, it is critical to rethink the way we approach data generation as the most important input for AI-driven drug discovery. The talk will address these recent advances in data and metadata capture based on fully automated experimentation and novel data standards.