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Edmon Begoli

Showing results (11-20 of 21) with videos related to

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Scientific Reports|July 14, 2022
Network-medicine framework for studying disease trajectories in U.S. veteransItalo Faria do Valle, Brian Ferolito, Hanna Gerlovin, et al.
Journal of Biomedical Informatics|January 4, 2025
DOME: Directional medical embedding vectors from Electronic Health RecordsJun Wen, Hao Xue, Everett Rush, et al.
Bioinformatics (Oxford, England)|February 22, 2023
Multimodal representation learning for predicting molecule-disease relationsJun Wen, Xiang Zhang, Everett Rush, et al.
Journal of Biomedical Informatics|January 25, 2025
ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysisZiming Gan, Doudou Zhou, Everett Rush, et al.
Bioinformatics (Oxford, England)|January 22, 2026
SAIGE-GPU - Accelerating Genome- and Phenome-Wide Association Studies using GPUsAlex Rodriguez, Youngdae Kim, Tarak Nath Nandi, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2023
ARCH: Large-scale Knowledge Graph via Aggregated Narrative Codified Health Records AnalysisZiming Gan, Doudou Zhou, Everett Rush, et al.
NPJ Digital Medicine|October 28, 2021
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record dataChuan Hong, Everett Rush, Molei Liu, et al.
Biorxiv : the Preprint Server for Biology|June 3, 2024
Accelerating Genome- and Phenome-Wide Association Studies using GPUs - A case study using data from the Million Veteran ProgramAlex Rodriguez, Youngdae Kim, Tarak Nath Nandi, et al.
American Journal of Epidemiology|June 24, 2021
Pharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without Azithromycin, and COVID-19 Outcomes Among Hospitalized US VeteransHanna Gerlovin, Daniel C Posner, Yuk-Lam Ho, et al.
Science (New York, N.Y.)|July 18, 2024
Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran ProgramAnurag Verma, Jennifer E Huffman, Alex Rodriguez, et al.
Pageof 3

Showing results (11-20 of 21) with videos related to

Sort By:
Pageof 3
Scientific Reports|July 14, 2022
Network-medicine framework for studying disease trajectories in U.S. veteransItalo Faria do Valle, Brian Ferolito, Hanna Gerlovin, et al.
Journal of Biomedical Informatics|January 4, 2025
DOME: Directional medical embedding vectors from Electronic Health RecordsJun Wen, Hao Xue, Everett Rush, et al.
Bioinformatics (Oxford, England)|February 22, 2023
Multimodal representation learning for predicting molecule-disease relationsJun Wen, Xiang Zhang, Everett Rush, et al.
Journal of Biomedical Informatics|January 25, 2025
ARCH: Large-scale knowledge graph via aggregated narrative codified health records analysisZiming Gan, Doudou Zhou, Everett Rush, et al.
Bioinformatics (Oxford, England)|January 22, 2026
SAIGE-GPU - Accelerating Genome- and Phenome-Wide Association Studies using GPUsAlex Rodriguez, Youngdae Kim, Tarak Nath Nandi, et al.
Medrxiv : the Preprint Server for Health Sciences|June 9, 2023
ARCH: Large-scale Knowledge Graph via Aggregated Narrative Codified Health Records AnalysisZiming Gan, Doudou Zhou, Everett Rush, et al.
NPJ Digital Medicine|October 28, 2021
Clinical knowledge extraction via sparse embedding regression (KESER) with multi-center large scale electronic health record dataChuan Hong, Everett Rush, Molei Liu, et al.
Biorxiv : the Preprint Server for Biology|June 3, 2024
Accelerating Genome- and Phenome-Wide Association Studies using GPUs - A case study using data from the Million Veteran ProgramAlex Rodriguez, Youngdae Kim, Tarak Nath Nandi, et al.
American Journal of Epidemiology|June 24, 2021
Pharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without Azithromycin, and COVID-19 Outcomes Among Hospitalized US VeteransHanna Gerlovin, Daniel C Posner, Yuk-Lam Ho, et al.
Science (New York, N.Y.)|July 18, 2024
Diversity and scale: Genetic architecture of 2068 traits in the VA Million Veteran ProgramAnurag Verma, Jennifer E Huffman, Alex Rodriguez, et al.
Pageof 3