ORIGINAL RESEARCH article
Front. Artif. Intell.
Sec. Machine Learning and Artificial Intelligence
Cutting-Edge AI in Biomedicine: Enhanced Multi-Stage Fusion Framework (Updated Edition)
- FA
Fahim Abrar 1
Bentley Njie 2
1. Trine University, Angola, United States
2. University of Washington, Seattle, United States
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Abstract
Artificial intelligence applications in biomedical research and translational medicine require rigorous calibration and conformal predictive assurances. This study demonstrates a multi-stage fusion architecture with leakage prevention across clinical cohorts.
Summary
Keywords
Artificial Intelligence, Biomedical Informatics, Machine Learning, Clinical Decision Support
Received
20 October 2026
Accepted
01 November 2026
Copyright
© 2026 Abrar and Njie. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Bentley Njie
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.