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Nature Genetics|April 17, 2023
Inference of chronic obstructive pulmonary disease with deep learning on raw spirograms identifies new genetic loci and improves risk modelsJustin Cosentino, Babak Behsaz, Babak Alipanahi, et al.PLOS Global Public Health|June 4, 2024
Predicting cardiovascular disease risk using photoplethysmography and deep learningWei-Hung Weng, Sebastien Baur, Mayank Daswani, et al.American Journal of Human Genetics|June 2, 2021
Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphologyBabak Alipanahi, Farhad Hormozdiari, Babak Behsaz, et al.Nature Genetics|July 8, 2024
Unsupervised representation learning on high-dimensional clinical data improves genomic discovery and predictionTaedong Yun, Justin Cosentino, Babak Behsaz, et al.Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
Unsupervised representation learning improves genomic discovery and risk prediction for respiratory and circulatory functions and diseasesTaedong Yun, Justin Cosentino, Babak Behsaz, et al.Medrxiv : the Preprint Server for Health Sciences|April 2, 2024
Utilizing multimodal AI to improve genetic analyses of cardiovascular traitsYuchen Zhou, Justin Cosentino, Taedong Yun, et al.American Journal of Human Genetics|June 21, 2025
Applying multimodal AI to physiological waveforms improves genetic prediction of cardiovascular traitsYuchen Zhou, Justin Khasentino, Taedong Yun, et al.Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|May 14, 2025
Detection of Early-Stage Colorectal Cancer Using Cell-Free oncRNA Biomarkers and Artificial IntelligenceAmir Momen-Roknabadi, Mehran Karimzadeh, Nae-Chyun Chen, et al.Nature Communications|November 21, 2024
Deep generative AI models analyzing circulating orphan non-coding RNAs enable detection of early-stage lung cancerMehran Karimzadeh, Amir Momen-Roknabadi, Taylor B Cavazos, et al.Pageof 1