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Patterns (New York, N.Y.)|December 31, 2025
A multimodal LLM-agent framework for personalized clinical decision-making in hepatocellular carcinomaLiyang Wang, Fa Tian, Chengquan Li, et al.Patterns (New York, N.Y.)|March 6, 2023
Transfer learning: The key to functionally annotate the protein universeLeandro A Bugnon, Emilio Fenoy, Alejandro A Edera, et al.Patterns (New York, N.Y.)|March 6, 2023
Deep learning for detecting and elucidating human T-cell leukemia virus type 1 integration in the human genomeHaodong Xu, Johnathan Jia, Hyun-Hwan Jeong, et al.Patterns (New York, N.Y.)|August 22, 2025
BioLLM: A standardized framework for integrating and benchmarking single-cell foundation modelsPing Qiu, Qianqian Chen, Hua Qin, et al.Patterns (New York, N.Y.)|August 22, 2025
Visualization of associative exploration of temporal concepts via frequent patternsTali Malenboim, Nir Grinberg, Robert MoskovitchPatterns (New York, N.Y.)|August 22, 2025
Graph-sequence enhanced transformer for template-free prediction of natural product biosynthesisShan Cong, Meng Zhang, Yu Song, et al.Patterns (New York, N.Y.)|August 22, 2025
RiskPath: Explainable deep learning for multistep biomedical prediction in longitudinal dataNina de Lacy, Michael Ramshaw, Wai Yin LamPatterns (New York, N.Y.)|March 24, 2023
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materialsYongtao Liu, Anna N Morozovska, Eugene A Eliseev, et al.Patterns (New York, N.Y.)|March 24, 2023
Leveraging quantum computing for dynamic analyses of logical networks in systems biologyFelix M Weidner, Julian D Schwab, Sabine Wölk, et al.Patterns (New York, N.Y.)|March 24, 2023
Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective studySohrab Ferdowsi, Julien Knafou, Nikolay Borissov, et al.Pageof 92