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

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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.

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