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Designing the Future: AI's Role in Drug Delivery
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Author(s): Mani Sharma (Department of Pharmaceutics, School of Pharmacy, Anurag University, Hyderabad, India), Abhiram Kumar (BITS, India), Rama Satya Sri Kotipalli (CSIR-CCMB, Hyderabad, India)and Mohini Rawat (School of Pharmaceutical Sciences, Shri Guru Ram Rai University, Dehradun, India)
Copyright: 2027
Pages: 22
Source title:
Encyclopedia of Modern Artificial Intelligence
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Founding Editor-in-Chief, Information Resources Management Journal (IRMJ), USA)
DOI: 10.4018/407366
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Abstract
Artificial Intelligence (AI) is transforming drug delivery and discovery, promising faster timelines, enhanced efficacy, and personalized treatments. AI has achieved significant advancements in cancer detection, cardiovascular theranostics, and bioinformatics. Machine learning algorithms expedite drug candidate identification by predicting efficacy and safety, streamlining drug development, and enabling precision therapies. AI-driven models also design nanoscale delivery systems for targeted drug release, minimizing side effects and maximizing efficacy. In personalized medicine, AI analyzes genomics, proteomics, and clinical data to identify biomarkers, predict treatment responses, and optimize therapeutic regimens, shifting from one-size-fits-all to tailored interventions based on individual genetic profiles.
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