Drug Discovery in the Era of Artificial Intelligence: From Target Identification to Clinical Trials

Abstract excerpt

Drug discovery remains costly and time-consuming, requiring substantial effort across target identification, lead optimization, and clinical validation. The rapid growth of artificial intelligence (AI) and machine learning (ML), particularly deep learning (DL), has created new opportunities to accelerate these processes by extracting complex patterns from large-scale biological and chemical data. As diverse datase...

Topics

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• Artificial Intelligence
• Genomics
• Machine Learning
• Pharmacogenetics
• Polymorphism, Single Nucleotide
• Precision Medicine
• Statistical Methods in Clinical Trials

Identifiers and source

Literature Corpus work

4d3d9682-ea0f-5db7-811f-06b1936908f2

DOI

10.20944/preprints202606.0091.v1