Showing results (421-430 of 944) with videos related to
Sort By:
Pageof 95
Patterns (New York, N.Y.)|January 24, 2024
An adaptive federated learning framework for clinical risk prediction with electronic health records from multiple hospitalsWeishen Pan, Zhenxing Xu, Suraj Rajendran, et al.Patterns (New York, N.Y.)|January 24, 2024
Functional microRNA-targeting drug discovery by graph-based deep learningArash Keshavarzi Arshadi, Milad Salem, Heather Karner, et al.Patterns (New York, N.Y.)|January 29, 2024
Energy efficiency as a normative account for predictive codingShahab BakhtiariPatterns (New York, N.Y.)|September 5, 2024
Reliable imputation of spatial transcriptomes with uncertainty estimation and spatial regularizationChen Qiao, Yuanhua HuangPatterns (New York, N.Y.)|September 5, 2024
A federated learning architecture for secure and private neuroimaging analysisDimitris Stripelis, Umang Gupta, Hamza Saleem, et al.Patterns (New York, N.Y.)|July 31, 2024
The potential of self- supervised learning in embryo selection for IVF successGuanqiao Shan, Yu SunPatterns (New York, N.Y.)|April 23, 2025
Nature visible only digitallyYasuhiro Iba, Aya Kubota, Yusuke Takeda, et al.Patterns (New York, N.Y.)|April 23, 2025
When accurate prediction models yield harmful self-fulfilling propheciesWouter A C van Amsterdam, Nan van Geloven, Jesse H Krijthe, et al.Patterns (New York, N.Y.)|April 23, 2025
Toward automated and explainable high-throughput perturbation analysis in single cellsJesus Gonzalez-Ferrer, Mohammed A Mostajo-RadjiPatterns (New York, N.Y.)|April 4, 2025
Strategies to include prior knowledge in omics analysis with deep neural networksKisan Thapa, Meric Kinali, Shichao Pei, et al.Pageof 95