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Artificial intelligence and machine learning in drug discovery-a review

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AI and ML enhance drug discovery efficiency, making the process faster and more cost-effective than traditional methods.
Using these technologies, researchers can quickly identify potential drug candidates and target molecules, leading to quicker development cycles.
The review explores challenges facing AI integration, such as data quality and regulatory issues, which may hinder widespread adoption.
Insights into future trends suggest that AI will continue to reshape the pharmaceutical landscape, improving drug safety and efficacy.

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Review highlights AI and machine learning's impact on drug discovery, suggesting faster candidate identification and improved outcomes.

Boddepalli et al. (2025) studied this question.

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