Artificial Intelligence in Drug Discovery and Development: Emerging Technologies and Applications

Key Takeaways

Quantum computing tools have the potential to address many early-phase biopharmaceutical challenges such as reaction rate prediction, combinatorial optimization, and accurate simulation of atoms and molecules.
Metabolomics—an emerging field that analyzes metabolites to determine their biological function—can be enhanced with AI-based data processing and analysis to better understand disease pathway activity and identify appropriate interventions.
In addition to helping identify digital biomarkers to power new and less fragile endpoints, AI-based approaches could influence a number of clinical research functions from protocol design and patient identification to endpoint selection and process automation.