Through the work of the Integrative Data Science Lab (IDSL), we are pioneering new ways to rapidly improve disease treatment and drug discovery using integrative knowledge graphs and advanced machine learning approaches to profile and predict the biological effects of potential new drugs.
How knowledge graphs will transform drug discovery
What if we could bring all the knowledge, data, insight, and prior decision-making of drug discovery together and use it to accelerate the discovery of new drugs? What if we could encode the millions of known relationships between potential new (or old) drugs, protein targets, genomics, biological processes, and disease mechanisms, and then use all this together to get new insights into disease and treatments?