Clara-Lea Bonzel - JoVE Visualize

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Ebiomedicine|April 30, 2023

Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scoresHarrison G Zhang, Greg McDermott, Thany Seyok, et al.

Patterns (New York, N.Y.)|January 24, 2024

LATTE: Label-efficient incident phenotyping from longitudinal electronic health recordsJun Wen, Jue Hou, Clara-Lea Bonzel, et al.

Journal of Medical Internet Research|May 25, 2023

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic TechnologiesJue Hou, Rachel Zhao, Jessica Gronsbell, et al.

Nature Biomedical Engineering|April 14, 2026

Phenotypic prediction of missense variants via deep contrastive learningJun Wen, Sihang Zeng, Clara-Lea Bonzel, et al.

Scientific Reports|April 5, 2024

Heterogeneous associations between interleukin-6 receptor variants and phenotypes across ancestries and implications for therapyXuan Wang, Molei Liu, Isabelle-Emmanuella Nogues, et al.

Medrxiv : the Preprint Server for Health Sciences|October 24, 2023

Knowledge-Driven Online Multimodal Automated Phenotyping SystemXin Xiong, Sara Morini Sweet, Molei Liu, 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.

Journal of Biomedical Informatics|July 25, 2022

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonizationDoudou Zhou, Ziming Gan, Xu Shi, 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.

Nature Communications|April 3, 2026

Representation learning to advance multi-institutional studies with electronic health record data from US and FranceDoudou Zhou, Han Tong, Linshanshan Wang, et al.

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Showing results (11-20 of 35) with videos related to

Sort By:

Pageof 4

Ebiomedicine|April 30, 2023

Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scoresHarrison G Zhang, Greg McDermott, Thany Seyok, et al.

Patterns (New York, N.Y.)|January 24, 2024

LATTE: Label-efficient incident phenotyping from longitudinal electronic health recordsJun Wen, Jue Hou, Clara-Lea Bonzel, et al.

Journal of Medical Internet Research|May 25, 2023

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic TechnologiesJue Hou, Rachel Zhao, Jessica Gronsbell, et al.

Nature Biomedical Engineering|April 14, 2026

Phenotypic prediction of missense variants via deep contrastive learningJun Wen, Sihang Zeng, Clara-Lea Bonzel, et al.

Scientific Reports|April 5, 2024

Heterogeneous associations between interleukin-6 receptor variants and phenotypes across ancestries and implications for therapyXuan Wang, Molei Liu, Isabelle-Emmanuella Nogues, et al.

Medrxiv : the Preprint Server for Health Sciences|October 24, 2023

Knowledge-Driven Online Multimodal Automated Phenotyping SystemXin Xiong, Sara Morini Sweet, Molei Liu, 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.

Journal of Biomedical Informatics|July 25, 2022

Multiview Incomplete Knowledge Graph Integration with application to cross-institutional EHR data harmonizationDoudou Zhou, Ziming Gan, Xu Shi, 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.

Nature Communications|April 3, 2026

Representation learning to advance multi-institutional studies with electronic health record data from US and FranceDoudou Zhou, Han Tong, Linshanshan Wang, et al.

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