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ISSN: 2582-8266 (Online)  || UGC Compliant Journal || Google Indexed || Impact Factor: 9.48 || Crossref DOI

Fast Publication within 2 days || Low Article Processing charges || Peer reviewed and Referred Journal

Research and review articles are invited for publication in Volume 18, Issue 3 (March 2026).... Submit articles

AI for Precision Medicine: Integrating Machine Learning in Healthcare

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  • AI for Precision Medicine: Integrating Machine Learning in Healthcare

Chijioke Cyriacusc Ekechi 1, *, Olatokun Tobiloba Philip 2, Yahaya Hope 3 and Ayodeji S.  Saliu 4

1 Department of Electrical and Computer Engineering, Faculty of Engineering, Tennessee Technological University, Cookeville, Tennessee, United States of America.
2 Department of Environmental Health, College of Public Health, University of Illinois Springfield, Springfield, Illinois, United States of America.
3 Department of Biology and Microbiology, School of Applied Sciences and Technology, Auchi Polytechnic, Auchi, Edo State, Nigeria.
4 Department of Computer science, Faculty of Science, University of Adekunle Ajasin Uni, Akungba Akoko, Ondo state, Nigeria.
 

Review Article

 

World Journal of Advanced Engineering Technology and Sciences, 2026, 18(02), 008-019

Article DOI: 10.30574/wjaets.2026.18.2.0033

DOI url: https://doi.org/10.30574/wjaets.2026.18.2.0033

Received on 10 December 2025; revised on 28 January 2026; accepted on 30 January 2026

The development of artificial intelligence (AI) and machine learning (ML) has become a new disruptive technology in precision medicine, which allows the provision of tailored treatment plans with the help of sophisticated data analytics, multimodal assimilation, and predictive modelling. It is an empirical review of the recent literature on AI and ML in the context of precision medicine, specifically how they can be used to combine patient genomics, lifestyle data, and clinical records to provide personalised care delivery. The review covers the new advances in genomics, clinical diagnostics, biomarker discovery, personalised therapeutics, and answers questions on the issues of critical data security in healthcare and ethical concerns. Randomised controlled trials, systematic reviews, and massive implementations provide evidence indicating that AI can transform patient care by means of precision based on data, but show that stringent security systems and ethics governance are needed.

Artificial Intelligence; Machine Learning; Precision Medicine; Multimodal Data Integration; Genomics; Healthcare Data Security

https://wjaets.com/sites/default/files/fulltext_pdf/WJAETS-2026-0033.pdf

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Chijioke Cyriacusc Ekechi, Olatokun Tobiloba Philip, Yahaya Hope and Ayodeji S. Saliu. AI for Precision Medicine: Integrating Machine Learning in Healthcare. World Journal of Advanced Engineering Technology and Sciences, 2026, 18(02), 008-019. Article DOI: https://doi.org/10.30574/wjaets.2026.18.2.0033

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