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2025	Cyber-Secure IoT and Machine Learning Framework for Optimal Emergency Ambulance Allocation Applied Sciences Jonghyuk Kim, Sewoong Hwang
2025	Circulating cell-free RNA signatures for the characterization and diagnosis of myalgic encephalomyelitis/chronic fatigue syndrome Proceedings of the National Academy of Sciences Anne E. Gardella, Daniel Eweis-LaBolle, Conor J. Loy, Emma D. Belcher, Joan S. Lenz, Carl J. Franconi, Sally Y. Scofield, Andrew Grimson, Maureen R. Hanson, Iwijn De Vlaminck
2025	Machine learning and multi-omics in precision medicine for ME/CFS Journal of Translational Medicine Katherine Huang, Brett A. Lidbury, Natalie Thomas, Paul R. Gooley, Christopher W. Armstrong
2025	Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence Frontiers in Physiology Yasin Görmez, Fatma Hilal Yagin, Burak Yagin, Yalin Aygun, Hulusi Boke, Georgian Badicu, Matheus Santos De Sousa Fernandes, Abedalrhman Alkhateeb, Mahmood Basil A. Al-Rawi, Mohammadreza Aghaei
2024	Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligence Frontiers in Molecular Biosciences Fatma Hilal Yagin, Yasin Gormez, Fahaid Al-Hashem, Irshad Ahmad, Fuzail Ahmad, Luca Paolo Ardigò
2024	Advancing the LightGBM approach with three novel nature-inspired optimizers for predicting wildfire susceptibility in Kauaʻi and Molokaʻi Islands, Hawaii Expert Systems with Applications Saeid Janizadeh, Trang Thi Kieu Tran, Sayed M. Bateni, Changhyun Jun, Dongkyun Kim, Clay Trauernicht, Essam Heggy
2024	Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm Engineering Applications of Computational Fluid Mechanics Roozbeh Moazenzadeh, Okan Mert Katipoğlu, Ahmadreza Shateri, Hamid Nasiri, Mohammed Abdallah