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Patterns (New York, N.Y.)|November 30, 2023
MANGEM: A web app for multimodal analysis of neuronal gene expression, electrophysiology, and morphologyRobert Hermod Olson, Noah Cohen Kalafut, Daifeng WangPatterns (New York, N.Y.)|January 24, 2024
DSM: Deep sequential model for complete neuronal morphology representation and feature extractionFeng Xiong, Peng Xie, Zuohan Zhao, et al.Patterns (New York, N.Y.)|January 24, 2024
Unified fair federated learning for digital healthcareFengda Zhang, Zitao Shuai, Kun Kuang, et al.Patterns (New York, N.Y.)|January 24, 2024
FHBF: Federated hybrid boosted forests with dropout rates for supervised learning tasks across highly imbalanced clinical datasetsVasileios C Pezoulas, Fanis Kalatzis, Themis P Exarchos, et al.Patterns (New York, N.Y.)|March 15, 2024
Can large language models reason about medical questions?Valentin Liévin, Christoffer Egeberg Hother, Andreas Geert Motzfeldt, et al.Patterns (New York, N.Y.)|March 15, 2024
Anti-deficit is anti-racist and transformativeLeticia Márquez-MagañaPatterns (New York, N.Y.)|March 15, 2024
Physicians should build their own machine-learning modelsYosra Magdi MekkiPatterns (New York, N.Y.)|February 19, 2024
Folding paper models of biostructures for outreach and educationDavid S Goodsell, Shuchismita Dutta, Brian P Hudson, et al.Patterns (New York, N.Y.)|October 25, 2023
Exploiting noise as a resource for computation and learning in spiking neural networksGehua Ma, Rui Yan, Huajin TangPatterns (New York, N.Y.)|October 25, 2023
Leveraging cell-cell similarity for high-performance spatial and temporal cellular mappings from gene expression dataMd Tauhidul Islam, Lei XingPageof 92