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Patterns (New York, N.Y.)|May 1, 2023
Toward structuring real-world data: Deep learning for extracting oncology information from clinical text with patient-level supervisionSam Preston, Mu Wei, Rajesh Rao, et al.
Patterns (New York, N.Y.)|August 25, 2020
The Discomfort of Death Counts: Mourning through the Distorted Lens of Reported COVID-19 Death DataInioluwa Deborah Raji
Patterns (New York, N.Y.)|August 25, 2020
Data Science for Virtual Tourism Using Cutting-Edge Visualizations: Information Geometry and Conformal MappingArni S R Srinivasa Rao, Steven G Krantz
Patterns (New York, N.Y.)|August 25, 2020
A Tale of Two Cities: Reflections on Digital Technology and the Natural EnvironmentGordon S Blair
Patterns (New York, N.Y.)|August 25, 2020
Data Sharing in a Time of PandemicSarah Callaghan
Patterns (New York, N.Y.)|August 25, 2020
The COVID-19 Drug and Gene Set LibraryMaxim V Kuleshov, Daniel J Stein, Daniel J B Clarke, et al.
Patterns (New York, N.Y.)|June 9, 2025
Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopyBen Cardoen, Hanene Ben Yedder, Ivan Robert Nabi, et al.
Patterns (New York, N.Y.)|October 3, 2025
Generating and leveraging explanations of AI/ML models in materials and manufacturing researchErick J Braham, Jennifer M Ruddock, James O Hardin
Patterns (New York, N.Y.)|October 27, 2025
Hierarchical affinity landscape navigation through learning a shared pocket-ligand spaceBin Feng, Zijing Liu, Hao Li, et al.
Patterns (New York, N.Y.)|October 3, 2025
A one-shot, lossless algorithm for cross-cohort learning in mixed-outcomes analysisRuowang Li, Luke Benz, Rui Duan, et al.
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