What does this research mean for the field?

Artificial intelligence and machine learning platforms significantly accelerate and optimize various stages of drug discovery and development, including target identification, lead optimization, and drug repurposing. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This review aims to explore the impact of artificial intelligence on drug discovery and development processes.

July 5, 2026Open Access

Artificial Intelligence in Drug Discovery and Development: A Comprehensive Review

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This review aims to explore the impact of artificial intelligence on drug discovery and development processes.
Conducted a systematic literature search across databases, including PubMed and Google Scholar.
Included articles from 2015 to 2024 that focus on AI and drug discovery.
Critically analyzed the application of AI at various stages of drug development.
AI platforms effectively accelerate hit identification and drug-target interaction predictions.
Demonstrated optimization of pharmacokinetic properties, enhancing drug profiles.
Revolutionized drug repurposing, leading to faster delivery of safer medicines.

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Implication

Comprehensive review discusses AI's role in accelerating drug discovery, indicating significant advancements and challenges.

Cite This Study

J. Supriya* (2026) studied this question.

synapsesocial.com/papers/6a49f70df5d1d45b28801263 https://doi.org/10.5281/zenodo.21152156

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Artificial Intelligence in Drug Discovery and Development: A Comprehensive Review

Key Points

Discussion

Implication

Cite This Study

Artificial Intelligence in Drug Discovery and Development: A Comprehensive Review

Key Points

Discussion

Implication

Cite This Study

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