Showing results (1371-1380 of 1,491) with videos related to

Sort By:
Pageof 150
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Risk prediction: Methods, Challenges, and OpportunitiesRuowang Li, Rui Duan, Lifang He, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Quantifying Health Outcome Disparity in Invasive Methicillin-Resistant Staphylococcus aureus Infection using Fairness Algorithms on Real-World DataInyoung Jun, Sarah E Ser, Scott A Cohen, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine StainingGokul Srinivasan, Matthew J Davis, Matthew R LeBoeuf, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 31, 2023
EVALUATING THE RELATIONSHIPS BETWEEN GENETIC ANCESTRY AND THE CLINICAL PHENOMEJacqueline A Piekos, Jeewoo Kim, Jacob M Keaton, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Predicting Longitudinal Outcomes of Alzheimer's Disease via a Tensor-Based Joint Classification and Regression ModelLodewijk Brand, Kai Nichols, Hua Wang, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
LitGen: Genetic Literature Recommendation Guided by Human ExplanationsAllen Nie, Arturo L Pineda, Matt W Wright, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Automated phenotyping of patients with non-alcoholic fatty liver disease reveals clinically relevant disease subtypesMaxence Vandromme, Tomi Jun, Ponni Perumalswami, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Multilevel Self-Attention Model and its Use on Medical Risk PredictionXianlong Zeng, Yunyi Feng, Soheil Moosavinasab, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Identifying Transitional High Cost Users from Unstructured Patient Profiles Written by Primary Care PhysiciansHaoran Zhang, Elisa Candido, Andrew S Wilton, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 5, 2019
Obtaining dual-energy computed tomography (CT) information from a single-energy CT image for quantitative imaging analysis of living subjects by using deep learningWei Zhao, Tianling Lv, Rena Lee, et al.
Pageof 150