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Medan, Ilija; Way, Zachary; Rojas-Ayala, Bárbara; Stringfellow, Guy S.; Sayres, Conor; Stassun, Keivan G.; Casey, Andrew R.; Lépine, Sébastien; Galligan, Emma; Souto, Diogo; Saydjari, Andrew K. (2025). The importance of standardizing spectra in the era of large spectroscopic surveys: A case study of M dwarfs in SDSS-V. Astronomical Journal,… Read More

Katherine E. Brown; Jesse O. Wrenn; Nicholas J. Jackson; Michael R. Cauley; Benjamin X. Collins; Laurie L. Novak; Bradley A. Malin; Jessica S. Ancker (2026). Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance. Journal of the American Medical Informatics Association, 33(3), 621–631. https://doi.org/10.1093/jamia/ocaf235… Read More

Clayton, E. W., Rose, S., Nebecker, C., Novak, L., Bensoussan, Y. E., Chen, Y., Collins, B. X., Cordes, A., Evans, B. J., Ferryman, K. S., Hurst, S., Jiang, X., Lee, A. Y., McWeeney, S., Parker, J., Bélisle-Pipon, J.-C., Rosenthal, E. S., Yin, Z., Yracheta, J. M., & Malin,… Read More

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