Revolutionizing Drug Discovery: The Impact of Artificial Intelligence on Efficiency and Accuracy
Journal of Advances in Medical and Pharmaceutical Sciences · pp. 56–63 · Published 5 Jun 2024
10.9734/jamps/2024/v26i6695Abstract
This study explores the transformative impact of Artificial Intelligence (AI) techniques, such as machine learning and deep learning, on drug discovery. It highlights the roles of Al in enhancing efficiency and precision, accelerating processes, refining outcomes, and managing large datasets. Real-world applications, like AI-driven drug screening and predictive modeling, are discussed, along with AI's potential for personalized drug discovery and ethical considerations. The current landscape and future implications of AI in drug discovery are examined, underscoring its ability to derive efficient and tailored treatment solutions.
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Cited by 6
P. JASMINE, ARWA IBRAHIM, S. SIDDIQ · International Journal of Applied Pharmaceutics · 2025
Ch. Hima Bindu, Raveendra Babu, Sasidhar Bhimana · Advances in Medical Technologies and Clinical Practice · 2024
Malvika Chawla · Premier Journal of Science · 2024
Showing 3 of 6 known citations — external sources report more than can currently be individually listed.
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