The dual impact of AI and renewable energy in enhancing medicine for better diagnostics, drug discovery, and public health
1 Department of Electrical/Electronics Engineering, University of Ibadan, Nigeria.
2 School of Business, Harvard University, Cambridge, Massachusetts, USA.
3 Department of Public Health Sciences,University of North Carolina at Charlotte, Charlotte, USA.
4 Department of Obstetrics and Gynaecology, Abia State University Teaching Hospital, Aba, Nigeria.
5 Department of Health, Safety and Environment, Al Jaber and Partners, Doha, Qatar.
6 Department of Research and Development, The Energy Connoisseur L.L.C, Houston, Texas, USA.
Review Article
Magna Scientia Advanced Biology and Pharmacy, 2024, 12(02), 099–127
Article DOI: 10.30574/msabp.2024.12.2.0048
Publication history:
Received on 23 June 2024; revised on 31 July 2024; accepted on 03 August 2024
Abstract:
This review paper discusses how Artificial Intelligence (AI) and renewable energy are shaping the field of medicine. It focuses on improving accuracy speeding up drug discovery and enhancing health efforts. AI technologies are changing diagnostics by identifying patterns that may be missed by human doctors leading to better clinical decisions and outcomes, for patients. At the time incorporating energy into healthcare facilities is promoting sustainability cutting costs and ensuring a reliable power supply essential for uninterrupted medical operations. The paper also explores how machine learning models are used in drug discovery to streamline target identification improve trials and reduce development timelines and expenses. Additionally, it looks at how AI can enhance health by using analytics for early disease detection and efficient resource allocation while supporting these technologies with renewable energy solutions. By combining the advancements in AI with the benefits of energy this approach presents an sustainable perspective, on medicine that emphasizes innovation and environmental responsibility. It stresses the importance of research and ethical considerations to harness its potential.
Keywords:
Dual; Impact; AI; renewable energy; medicine; diagnostics; drug discovery; public health
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0