Опубликована: Март 15, 2024

This article delves into the intersection of generative AI and digital twins within drug discovery, exploring their synergistic potential to revolutionize pharmaceutical research development. Through various instances examples, we illuminate how algorithms, capable simulating vast chemical spaces predicting molecular properties, are increasingly integrated with biological systems expedite discovery. By harnessing power computational models machine learning, researchers can design novel compounds tailored specific targets, optimize candidates, simulate behavior virtual environments. paradigm shift offers unprecedented opportunities for accelerating development, reducing costs, and, ultimately, improving patient outcomes. As navigate this rapidly evolving landscape, collaboration between interdisciplinary teams continued innovation will be paramount in realizing promise advancing

Язык: Английский