Authors : Vikash Kumar Patel; Dr. Swarup J. Chattarjee; Sandip Kumar

Volume/Issue : Volume 9 - 2024, Issue 12 - December

Google Scholar : https://tinyurl.com/yc55dxbb

Scribd : https://tinyurl.com/2s499ajp

DOI : https://doi.org/10.5281/zenodo.14557169

Abstract : Artificial intelligence is transforming the field of pharmacy through drug discovery, optimization of clinical decision-making, and improvement in patient care. Through machine learning algorithms, natural language processing, and predictive analytics, artificial intelligence allows for efficient analysis of large datasets such as clinical trial results, patient records, and pharmacological databases. In drug discovery, AI accelerates the identification of potential compounds, reduces the cost of development, and predicts drug efficacy and safety profiles. In clinical settings, AI- powered tools support pharmacists by personalizing medication regimens, detecting drug interactions, and predicting patient adherence to treatment plans. AI is also transforming supply chain management in pharmacies, ensuring that medications are available when needed and minimizing wastage. With transformative potential comes the challenge: concerns of data privacy, calls for regulatory oversight, and human oversight in the decision-making process. Therefore, future collaboration between pharmacists, data scientists, and policymakers will be pivotal as AI technology evolves in a bid to utilize its full potential, especially in addressing both the ethical and practical considerations in such cases.

Keywords : AI in Drug Development, Computational Drug Design, Predictive ModelingHigh-Throughput Screening.

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