Author

Rui Andre Providencia

St Bartholomew's HospitalORCID 0000-0001-9141-9883Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Amand Floriaan SchmidtiD· 1 shared Andrew W. CarrolliD· 1 shared Anthony P. KhawajaiD· 1 shared Babak BehsaziD· 1 shared Cory Y. McLeaniD· 1 shared Dongbing LaiiD· 1 shared Farhad HormozdiariiD· 1 shared Howard Hua YangiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Amand Floriaan SchmidtORCID

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Author profile →

1 paper

Recent·Most cited

Utilizing multimodal AI to improve genetic analyses of cardiovascular traits

Yuchen Zhou, Justin Cosentino, Taedong Yun, Mahantesh I. Biradar, Jacqueline Baras Shreibati, Dongbing Lai, Tae-Hwi Linus Schwantes-An, Robert Luben, Zachary Ryan McCaw, Jorgen Engmann, Rui Andre Providencia, Amand Floriaan Schmidt, Patricia B. Munroe, Howard Hua Yang, Andrew W. Carroll, , Farhad Hormozdiari

This paper introduces M-REGLE, a multimodal deep learning method that improves genetic analysis of cardiovascular traits by integrating multiple clinical data modalities and outperforms unimodal approaches in locus discovery and risk prediction.

medRxiv · Mar 19, 2024 · PreprintGenetic & Genomic Medicine