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The study aims to explore the impact of AI and ML on drug delivery systems and personalized therapeutics.

Applications of Artificial Intelligence and Machine Learning in DrugDelivery

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The study aims to explore the impact of AI and ML on drug delivery systems and personalized therapeutics.
Analyzed various AI-powered systems for optimizing drug release and targeting specific tissues.
Evaluated ML algorithms for identifying drug candidates and streamlining clinical trials.
Investigated the role of AI in personalizing treatment based on genomic and medical history data.
AI-driven systems improved drug release efficiency and increased treatment efficacy.
ML algorithms reduced drug development time and cost significantly.
Personalized therapeutics based on AI analysis showed higher treatment effectiveness and fewer adverse reactions.

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Randomized trial demonstrates enhanced drug delivery outcomes in patients, suggesting significant health improvements.

Parashar et al. (2026) studied this question.

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