Machine Learning
-
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獺rbara; Stringfellow, Guy S.; Sayres, Conor; Stassun, Keivan G.; Casey, Andrew R.; L矇pine, S矇bastien; 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 MoreApr. 29, 2026
-
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).Auditor models to suppress poor artificial intelligence predictions can improve human-artificial intelligence collaborative performance.Journal of the American Medical Informatics Association, 33(3), 621631.https://doi.org/10.1093/jamia/ocaf235… Read MoreMar. 26, 2026
-
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矇lisle-Pipon, J.-C., Rosenthal, E. S., Yin, Z., Yracheta, J. M., & Malin,… Read MoreDec. 19, 2025
-
Harmfulness Score: A Data-Driven Framework for Ranking Environmental Risks of Microplastics
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 analyzed104,471 scientific abstractsaboutmicroplastics and nanoplasticsusing bothbibliometric tools(methods for studying patterns in scientific publications) andmachine learning… Read MoreNov. 23, 2025
-
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
-
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瓊o, Fabiola, Vallad瓊o, 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 Ci礙ncias, 97, e20241345. https://doi.org/10.1590/0001-3765202520241345 This study presents… Read MoreAug. 25, 2025
-
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). Role and use of race in artificial intelligence and machine learning models related to health. Journal of… Read MoreAug. 25, 2025
-
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
-
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. 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 MoreJun. 20, 2025
-
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. 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 MoreJun. 20, 2025