Machine Learning
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The Importance of Standardizing Spectra in the Era of Large Spectroscopic Surveys: A Case Study of M Dwarfs in SDSS-V
Medan, Ilija; Way, Zachary; Rojas-Ayala, B谩rbara; Stringfellow, Guy S.; Sayres, Conor; Stassun, Keivan G.; Casey, Andrew R.; L茅pine, S茅bastien; Galligan, Emma; Souto, Diogo; Saydjari, Andrew K. (2025).聽The importance of standardizing spectra in the era of large spectroscopic surveys: A case study of M dwarfs in SDSS-V.聽Astronomical Journal,… Read MoreApr. 29, 2026
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Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance
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).聽Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance.聽Journal of the American Medical Informatics Association, 33(3), 621鈥�631.聽https://doi.org/10.1093/jamia/ocaf235… Read MoreMar. 26, 2026
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Biomedical data repositories require governance for artificial intelligence/machine learning applications at every step
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., B茅lisle-Pipon, J.-C., Rosenthal, E. S., Yin, Z., Yracheta, J. M., & Malin,… Read MoreDec. 19, 2025
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Harmfulness Score: A Data-Driven Framework for Ranking Environmental Risks of Microplastics
Souza, Fernando Gomes., Bhansali, Shekhar., & Thundat, Thomas G. (2025).聽Harmfulness Score: A Data-Driven Framework for Ranking Environmental Risks of Microplastics.聽Macromolecular Rapid Communications. Advance online publication.聽https://doi.org/10.1002/marc.202500559 In this study, researchers analyzed聽104,471 scientific abstracts聽about聽microplastics and nanoplastics聽using both聽bibliometric tools聽(methods for studying patterns in scientific publications) and聽machine learning… Read MoreNov. 23, 2025
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Modeling the MRI gradient system with a temporal convolutional network: Improved reconstruction by prediction of readout gradient errors
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 MoreSep. 26, 2025
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What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends
Gomes, Fernando, Bhansali, Shekhar, da Silveira Maranh茫o, Fabiola, Vallad茫o, Viviane Silva, & Velasco, Karine. (2025). 鈥淲hat are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends.鈥� Anais da Academia Brasileira de Ci锚ncias, 97, e20241345. https://doi.org/10.1590/0001-3765202520241345 This study presents… Read MoreAug. 25, 2025
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Role and use of race in artificial intelligence and machine learning models related to health
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). 鈥淩ole and use of race in artificial intelligence and machine learning models related to health.鈥� Journal of… Read MoreAug. 25, 2025
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Development of a Machine Learning Model for Determining Alignment in Knees Following Total Knee Arthroplasty
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 MoreJul. 28, 2025
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Advancements in Ligand-Based Virtual Screening through the Synergistic Integration of Graph Neural Networks and Expert-Crafted Descriptors
Liu, Yunchao; Moretti, Rocco; Wang, Yu; Dong, Ha; Yan, Bailu; Bodenheimer, Bobby; Derr, Tyler; Meiler, Jens. 鈥淎dvancements in ligand-based virtual screening through the synergistic integration of graph neural networks and expert-crafted descriptors.鈥� Journal of Chemical Information and Modeling 65, no. 10 (2025): 4898-4905. Read MoreJun. 20, 2025
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CT Contrast Phase Identification by Predicting the Temporal Angle Using Circular Regression
Su, Dingjie; Van Schaik, Katherine D.; Remedios, Lucas W.; Li, Thomas; Maldonado, Fabien; Sandler, Kim L.; Dawant, Benoit M.; Landman, Bennett A. 鈥淐T contrast phase identification by predicting the temporal angle using circular regression.鈥� Proceedings – International Symposium on Biomedical Imaging (2025). https://doi.org/10.1109/ISBI60581.2025.10980877… Read MoreJun. 20, 2025