Machine Learning

Souza, Fernando Gomes., Bhansali, Shekhar., & Thundat, Thomas G. (2025). Harmfulness Score: A Data-Driven Framework for Ranking Environmental Risks of Microplastics. Macromolecular Rapid Communications. Advance online publication. https://doi.org/10.1002/marc.202500559 In this study, researchers analyzed 104,471 scientific abstracts about microplastics and nanoplastics using both bibliometric tools (methods for studying patterns in scientific publications) and machine learning… Read More

Martin, Jonathan B., Alderson, Hannah E., Gore, John C., Does, Mark D., & Harkins, Kevin D. (2025). Modeling the MRI gradient system with a temporal convolutional network: Improved reconstruction by prediction of readout gradient errors. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.70044 The goal of this… Read More

Gomes, Fernando, Bhansali, Shekhar, da Silveira Maranhão, Fabiola, Valladão, Viviane Silva, & Velasco, Karine. (2025). “What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends.” Anais da Academia Brasileira de Ciências, 97, e20241345. https://doi.org/10.1590/0001-3765202520241345 This study presents… Read More

Were, Martin Chieng, Li, Ang, Malin, Bradley A., Yin, Zhijun, Coco, Joseph R., Collins, Benjamin Xavier, Clayton, Ellen Wright, Novak, Laurie Lovett, Hendricks-Sturrup, Rachele M., & Oluyomi, Abiodun Olufemi. (2025). “Role and use of race in artificial intelligence and machine learning models related to health.” Journal of… Read More

Chandrashekar, Anoop S., Suh, Yehyun, Fox, Jacob A., Mika, Aleksander P., Moyer, Daniel C., Polkowski, Gregory G., Faschingbauer, Martin, & Martin, J. Ryan. (2025). Development of a machine learning model for determining alignment in knees following total knee arthroplasty. *Journal of Arthroplasty.* https://doi.org/10.1016/j.arth.2025.06.016 Malalignment,… Read More

Liu, Yunchao; Moretti, Rocco; Wang, Yu; Dong, Ha; Yan, Bailu; Bodenheimer, Bobby; Derr, Tyler; Meiler, Jens. “Advancements in ligand-based virtual screening through the synergistic integration of graph neural networks and expert-crafted descriptors.” Journal of Chemical Information and Modeling 65, no. 10 (2025): 4898-4905. Read More

Su, Dingjie; Van Schaik, Katherine D.; Remedios, Lucas W.; Li, Thomas; Maldonado, Fabien; Sandler, Kim L.; Dawant, Benoit M.; Landman, Bennett A. “CT contrast phase identification by predicting the temporal angle using circular regression.” Proceedings – International Symposium on Biomedical Imaging (2025). https://doi.org/10.1109/ISBI60581.2025.10980877… Read More

Elhanafy, Marim; Ravva, Srivaths; Solanki, Abhijeet; Hasan, Syed Rafay. “Towards Machine Learning Based Fingerprinting of Ultrasonic Sensors.” Conference Proceedings – IEEE SoutheastCon (2025): 1332–1333. https://doi.org/10.1109/SoutheastCon56624.2025.10971545.  “Fingerprinting” is a method used to identify devices based on their unique data patterns—kind of like how… Read More

Khan, Aimal; Yang, Hao; Habib, Daniel Roy Sadek; Ali, Danish; Wu, Jie Ying. “Development of a machine learning-based tension measurement method in robotic surgery.” Surgical Endoscopy (2025). https://doi.org/10.1007/s00464-025-11658-9.  Each year, over 300,000 people in the U.S. undergo colorectal surgery,… Read More

Newlin, Nancy R.; Kim, Michael E.; Kanakaraj, Praitayini; Pechman, Kimberly; Shashikumar, Niranjana; Moore, Elizabeth; Archer, Derek; Hohman, Timothy; Jefferson, Angela; Moyer, Daniel; Landman, Bennett A. “Learning disentangled representations to harmonize connectome network measures.” Journal of Medical Imaging, vol. 12, no. 1, 2025, 14004, https://doi.org/10.1117/1.JMI.12.1.014004… Read More