Rezultati - Rahul C. Deo
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A machine learning model for identifying patients at risk for wild-type transthyretin amyloid cardiomyopathy od Ahsan Huda, Adam Castaño, Anindita Niyogi, Jennifer Schumacher, Michelle Stewart, Marianna Bruno, Mo Hu, Faraz S. Ahmad, Rahul C. Deo, Sanjiv J. Shah
Izdano 2021Artigo -
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Genetic Differences between the Determinants of Lipid Profile Phenotypes in African and European Americans: The Jackson Heart Study od Rahul C. Deo, David Reich, Arti Tandon, Ermeg L. Akylbekova, Nick Patterson, Alicja Waliszewska, Sekar Kathiresan, Daniel F. Sarpong, Herman A. Taylor, James G. Wilson
Izdano 2009Artigo -
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Multinational Federated Learning Approach to Train ECG and Echocardiogram Models for Hypertrophic Cardiomyopathy Detection od Shinichi Goto, Divyarajsinhji Solanki, Jenine E. John, Ryuichiro Yagi, Max Homilius, Genki Ichihara, Yoshinori Katsumata, Hanna K. Gaggin, Yuji Itabashi, Calum A. MacRae, Rahul C. Deo
Izdano 2022Artigo -
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Artificial intelligence-enabled fully automated detection of cardiac amyloidosis using electrocardiograms and echocardiograms od Shinichi Goto, Keitaro Mahara, Lauren Beussink‐Nelson, Hidehiko Ikura, Yoshinori Katsumata, Jin Endo, Hanna K. Gaggin, Sanjiv J. Shah, Yuji Itabashi, Calum A. MacRae, Rahul C. Deo
Izdano 2021Artigo -
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Single-Nucleotide Polymorphisms in LPA Explain Most of the Ancestry-Specific Variation in Lp(a) Levels in African Americans od Rahul C. Deo, James G. Wilson, Chao Xing, Kim Lawson, W.H. Linda Kao, David Reich, Arti Tandon, Ermeg L. Akylbekova, Nick Patterson, Thomas H. Mosley, Eric Boerwinkle, Herman A. Taylor
Izdano 2011Artigo
Iskalna orodja:
Sorodne teme
Biology
Gene
Medicine
Genetics
Internal medicine
Cardiology
Cell biology
Heart failure
Ejection fraction
Biochemistry
Computational biology
Computer science
Endocrinology
Artificial intelligence
Phenotype
Chemistry
Heart failure with preserved ejection fraction
Messenger RNA
Molecular biology
Stem cell
Zebrafish
Adipose tissue
Blood pressure
Embryonic stem cell
Gene expression
Genome-wide association study
Genotype
Hypertrophic cardiomyopathy
Machine learning
Mutation