Continuous Bioactivity Screening and Lead Optimisation in Accelerated Timelines: The Role of Real-Time AI Platforms in Modern Drug Discovery

Authors

  • Michel Beauregard Associate Professor of Geomatics Engineering, Université Laval

Keywords:

continuous bioactivity screening, lead optimisation, accelerated timelines, the role, real-time ai platforms, machine learning

Abstract

The pharmaceutical design lifecycle has begun to integrate artificial intelligence (AI) in order to aid the complex process of drug discovery. Historically speaking, choosing the appropriate drug constitutes the critical aspect of developing an appropriate pharmaceutical. As diseases have become more complex, the matter of choosing an appropriate therapeutic agent has become even more challenging.

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Published

31-12-2022

How to Cite

[1]
“Continuous Bioactivity Screening and Lead Optimisation in Accelerated Timelines: The Role of Real-Time AI Platforms in Modern Drug Discovery”, IoT and Edge Comp. J, vol. 2, no. 2, pp. 37–50, Dec. 2022, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/iotecj/article/view/740