Integrating artificial intelligence in drug discovery and early drug development: a transformative approach

Integrating artificial intelligence in drug discovery and early drug development: a transformative approach

Abstract Artificial intelligence (AI) can transform drug discovery and early drug development by addressing inefficiencies in traditional methods, which often face high costs, long timelines, and low success rates. In this review we provide an overview of how to integrate AI to the current drug disc...

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Bibliographic Details
Main Authors: Alberto Ocana, Atanasio Pandiella, Cristian Privat, Iván Bravo, Miguel Luengo-Oroz, Eitan Amir, Balazs Gyorffy
Format: Article
Language:English
Published: BMC 2025-03-01
Series:Biomarker Research
Subjects:
Artificial intelligence
Drug discovery
Target identification
Early clinical development
Clinical trials
Neural networks
Online Access:https://doi.org/10.1186/s40364-025-00758-2
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https://doi.org/10.1186/s40364-025-00758-2

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