Atlas Khan. Columbia University Medical Center (CUMC) Verified email at cumc.columbia.edu - Homepage. Human Genetics Bioinformatics Machine learning Electronic Health Record (EHR) ... Z Yang, C Wang, L Liu, A Khan, A Lee, B Vardarajan, R Mayeux, K Kiryluk, ... Nature Genetics 55 (6), 1057-1065, 2023. 37:

Atlas Khan Iuliana Ionita-Laza Labeling clinical data from electronic health records (EHR) in health systems requires extensive knowledge of human expert, and painstaking review by clinicians.

By combining APOL1 risk genotypes with genome-wide association studies (GWAS) of kidney function, we designed, optimized and validated a genome-wide polygenic score (GPS) for CKD.

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Atlas Khan is a highly-skilled computational scientist with a Ph.D. in mathematics, artificial intelligence, and computational science. Specializing in both supervised and unsupervised machine learning methods, he has made groundbreaking contributions to the field.

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Dec 14, 2023 · By combining SNP array, exome/genome sequence, and electronic health record data from the UK Biobank and All-of-Us cohorts, we demonstrate that the genome-wide polygenic score (GPS) significantly predicts CKD among ADPKD monogenic variant carriers.