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AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
December 5, 2013
EHR-based Clinical Trial Alert Effects on Recruitment to a Neurology Trial across Institutions: Interim Analysis of a Randomized Controlled Study
Yosef Khan, Caryn Roth, Philip Payne, et al.
Biorxiv : the Preprint Server for Biology
|
September 16, 2024
mosGraphFlow: a novel integrative graph AI model mining disease targets from multi-omic data
Heming Zhang, Dekang Cao, Tim Xu, et al.
BMC Methods
|
October 8, 2025
MosGraphFlow: a novel integrative graph AI model mining signaling targets from multi-omic data
Heming Zhang, Dekang Cao, Tim Xu, et al.
Biorxiv : the Preprint Server for Biology
|
September 16, 2024
M3NetFlow: A novel multi-scale multi-hop graph AI model for integrative multi-omic data analysis
Heming Zhang, S Peter Goedegebuure, Li Ding, et al.
JAMIA Open
|
February 18, 2026
Multi-modal pediatric critical care datamart for extracorporeal support prediction and decision support
Miranda Edmunds, Aditi Gupta, Inez Oh, et al.
Iscience
|
March 4, 2025
M3NetFlow: A multi-scale multi-hop graph AI model for integrative multi-omic data analysis
Heming Zhang, S Peter Goedegebuure, Li Ding, et al.
Biorxiv : the Preprint Server for Biology
|
May 18, 2026
Interpreting Omics Data Analysis with Large Language Models for Disease Target and Drug Discovery
Zixi Xu, Weihang Chen, Wuyu Ren, et al.
BMC Bioinformatics
|
November 4, 2010
Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia
Jie Zhang, Yang Xiang, Liya Ding, et al.
Journal of the American Medical Informatics Association : JAMIA
|
February 15, 2021
A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming?
Justin B Starren, William M Tierney, Marc S Williams, et al.
Biorxiv : the Preprint Server for Biology
|
May 27, 2024
mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development
Heming Zhang, Dekang Cao, Zirui Chen, et al.
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Showing results (11-20 of 38) with videos related to
Sort By:
Page
of 4
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|
December 5, 2013
EHR-based Clinical Trial Alert Effects on Recruitment to a Neurology Trial across Institutions: Interim Analysis of a Randomized Controlled Study
Yosef Khan, Caryn Roth, Philip Payne, et al.
Biorxiv : the Preprint Server for Biology
|
September 16, 2024
mosGraphFlow: a novel integrative graph AI model mining disease targets from multi-omic data
Heming Zhang, Dekang Cao, Tim Xu, et al.
BMC Methods
|
October 8, 2025
MosGraphFlow: a novel integrative graph AI model mining signaling targets from multi-omic data
Heming Zhang, Dekang Cao, Tim Xu, et al.
Biorxiv : the Preprint Server for Biology
|
September 16, 2024
M3NetFlow: A novel multi-scale multi-hop graph AI model for integrative multi-omic data analysis
Heming Zhang, S Peter Goedegebuure, Li Ding, et al.
JAMIA Open
|
February 18, 2026
Multi-modal pediatric critical care datamart for extracorporeal support prediction and decision support
Miranda Edmunds, Aditi Gupta, Inez Oh, et al.
Iscience
|
March 4, 2025
M3NetFlow: A multi-scale multi-hop graph AI model for integrative multi-omic data analysis
Heming Zhang, S Peter Goedegebuure, Li Ding, et al.
Biorxiv : the Preprint Server for Biology
|
May 18, 2026
Interpreting Omics Data Analysis with Large Language Models for Disease Target and Drug Discovery
Zixi Xu, Weihang Chen, Wuyu Ren, et al.
BMC Bioinformatics
|
November 4, 2010
Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia
Jie Zhang, Yang Xiang, Liya Ding, et al.
Journal of the American Medical Informatics Association : JAMIA
|
February 15, 2021
A retrospective look at the predictions and recommendations from the 2009 AMIA policy meeting: did we see EHR-related clinician burnout coming?
Justin B Starren, William M Tierney, Marc S Williams, et al.
Biorxiv : the Preprint Server for Biology
|
May 27, 2024
mosGraphGen: a novel tool to generate multi-omics signaling graphs to facilitate integrative and interpretable graph AI model development
Heming Zhang, Dekang Cao, Zirui Chen, et al.
Page
of 4