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Patterns (New York, N.Y.)|September 18, 2023
A cardiologist-like computer-aided interpretation framework to improve arrhythmia diagnosis from imbalanced training datasetsLianting Hu, Shuai Huang, Huazhang Liu, et al.
Patterns (New York, N.Y.)|February 23, 2026
Making neural networks more neuralAlan W Freeman
Patterns (New York, N.Y.)|February 23, 2026
A self-supervised framework for emphysema anomaly detection and staging in computed tomography scansXiang Zhang, Mingyue Zhao, Fei Yao, et al.
Patterns (New York, N.Y.)|February 23, 2026
Embeddings from language models are good learners for single-cell data analysisTianyu Liu, Tianqi Chen, Wangjie Zheng, et al.
Patterns (New York, N.Y.)|February 23, 2026
Creating strong predictive models in oncologyMichael F Gensheimer
Patterns (New York, N.Y.)|February 23, 2026
Confidence-weighted integration of human and machine judgments for superior decision-makingFelipe Yáñez, Xiaoliang Luo, Omar Valerio Minero, et al.
Patterns (New York, N.Y.)|April 20, 2026
Breaking the glass ceiling: An interview with Yuhao (Jet) Zhou, María Óskarsdóttir, and Cristián BravoYuhao Zhou, María Óskarsdóttir, Cristián Bravo
Patterns (New York, N.Y.)|May 14, 2026
A framework for reproducibly managing coupled research software and data assets based on shared transformation functionsPatrick Kuckertz, Benjamin Fuchs, Julian Schönau, et al.
Patterns (New York, N.Y.)|May 14, 2026
Evaluating large language models for evidence-based clinical question answeringCan Wang, Yiqun Chen
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