Integrative Biomedical Research

Integrative Biomedical Research (Journal of Angiotherapy) | Online ISSN  3068-6326
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Revolutionizing Healthcare: The Role of Artificial Intelligence in Drug Discovery and Delivery

Yue Li¹*, Shunqi Liu2 *, Ran Tong³, Pengfei Zhang4, Jiang Bian5, Tong Wang6,  Panpan Gu7

+ Author Affiliations

Integrative Biomedical Research 9 (1) 1-8 https://doi.org/10.25163/biomedical.9110452

Submitted: 27 October 2025 Revised: 25 November 2025  Published: 08 December 2025 


Abstract

AI is transforming healthcare by accelerating disease detection, optimizing patient treatment, and enabling the creation of more personalized and effective drugs. AI is becoming a bigger part of finding and delivering drugs because more and more people need drugs that work better and cost less. This article explores the transformative impact of big language models, deep learning, and machine learning on drug development. The article starts by comparing these new technologies to old-fashioned drug research, which is known for being very expensive, time-consuming, and not very useful. AI has improved many things, such as making it easier to find targets, screening lead compounds faster, finding new uses for old drugs, and making better guesses about how drugs will work in the real world. Atomwise, DeepMind's AlphaFold, and BenevolentAI are all examples of AI that have been shown to help early-stage research go more quickly and have a better chance of success. AI analyzes each patient's data to determine the optimal timing and dosage for their treatment. It then creates a personalized plan for drug delivery. It also helps create smart drug delivery systems that use the Internet of Things and nanotechnology. These new systems are better at finding sick tissues and don't cause as many problems. Predictive analytics can predict how patients will respond and what side effects might occur. However, AI still has issues like data security, requiring high-quality datasets, and lacking interpretation. The article ends by picturing a future where AI, genomics, digital twins, and wearable technologies work together to make the healthcare system more flexible, accurate, and real-time.

Keywords: Artificial Intelligence, Drug Discovery, Drug Delivery Systems, Machine Learning, Precision Medicine

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