McLean Cory Y - Dept Comp Sci, Stanford Univ

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论文共 48 篇作者统计合作学者相似作者

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Utilizing Multimodal AI to Improve Genetic Analyses of Cardiovascular Traits

Yuchen Zhou,Justin Cosentino,Taedong Yun,Mahantesh I Biradar, Jacqueline Shreibati,Dongbing Lai,Tae-Hwi Schwantes-An,Robert Luben,Zachary McCaw,Jorgen Engmann,Rui Providencia,Amand Floriaan Schmidt,Patricia Munroe,Howard Yang,Andrew Carroll,Anthony P Khawaja,Cory Y McLean,Babak Behsaz,Farhad Hormozdiari

medRxiv the preprint server for health sciences (2024)

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Multimodal LLMs for Health Grounded in Individual-Specific Data

Anastasiya Belyaeva,Justin Cosentino,Farhad Hormozdiari,Krish Eswaran,Shravya Shetty,Greg Corrado,Andrew Carroll,Cory Y. McLean,Nicholas A. Furlotte

MACHINE LEARNING FOR MULTIMODAL HEALTHCARE DATA, ML4MHD 2023 (2024): 86-102

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Transforming Wearable Data into Health Insights using Large Language Model Agents

Mike A. Merrill,Akshay Paruchuri,Naghmeh Rezaei,Geza Kovacs, Javier Perez,Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam Tailor, Kumar Ayush, Hao-Wei Su, Qian He,Cory Y. McLean,Mark Malhotra,Shwetak Patel,Jiening Zhan,Tim Althoff,Daniel McDuff,Xin Liu

CoRR (2024)

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Advancing Multimodal Medical Capabilities of Gemini

Lin Yang,Shawn Xu,Andrew Sellergren,Timo Kohlberger, Yuchen Zhou,Ira Ktena,Atilla Kiraly,Faruk Ahmed,Farhad Hormozdiari,Tiam Jaroensri, Eric Wang,Ellery Wulczyn, Fayaz Jamil, Theo Guidroz,Chuck Lau,Siyuan Qiao,Yun Liu, Akshay Goel,Kendall Park, Arnav Agharwal,Nick George, Yang Wang,Ryutaro Tanno,David G. T. Barrett,Wei-Hung Weng,S. Sara Mahdavi,Khaled Saab,Tao Tu,Sreenivasa Raju Kalidindi,Mozziyar Etemadi,Jorge Cuadros, Gregory Sorensen,Yossi Matias,Katherine Chou,Greg Corrado,Joelle Barral,Shravya Shetty,David Fleet,S. M. Ali Eslami,Daniel Tse,Shruthi Prabhakara,Cory McLean, Dave Steiner,Rory Pilgrim,Christopher Kelly,Shekoofeh Azizi,Daniel Golden

CoRR (2024)

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Towards a Personal Health Large Language Model

Justin Cosentino,Anastasiya Belyaeva,Xin Liu,Nicholas A. Furlotte, Zhun Yang,Chace Lee, Erik Schenck,Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant,Ryan G. Gomes,Allen Jiang, Roy Lee,Yun Liu, Javier Perez,Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu,Tim Althoff,Conor Heneghan,John Hernandez,Mark Malhotra, Leor Stern,Yossi Matias,Greg S. Corrado,Shwetak Patel,Shravya Shetty,Jiening Zhan,Shruthi Prabhakara,Daniel McDuff,Cory Y. McLean

CoRR (2024)

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Unsupervised Representation Learning on High-Dimensional Clinical Data Improves Genomic Discovery and Prediction

Taedong Yun,Justin Cosentino,Babak Behsaz,Zachary R. McCaw,Davin Hill,Robert Luben,Dongbing Lai,John Bates,Howard Yang,Tae-Hwi Schwantes-An,Yuchen Zhou,Anthony P. Khawaja,Andrew Carroll,Brian D. Hobbs,Michael H. Cho,Cory Y. Mclean,Farhad Hormozdiari

Nature geneticsno. 8 (2024): 1604-1613

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Predicting Cardiovascular Disease Risk Using Photoplethysmography and Deep Learning

Wei-Hung Weng,Sebastien Baur,Mayank Daswani,Christina Chen, Lauren Harrell,Sujay Kakarmath,Mariam Jabara,Babak Behsaz,Cory Y McLean,Yossi Matias,Greg S Corrado,Shravya Shetty,Shruthi Prabhakara,Yun Liu,Goodarz Danaei,Diego Ardila

PLOS global public healthno. 6 (2024): e0003204-e0003204

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Inference of Chronic Obstructive Pulmonary Disease with Deep Learning on Raw Spirograms Identifies New Genetic Loci and Improves Risk Models

Justin Cosentino,Babak Behsaz,Babak Alipanahi,Zachary R. McCaw,Davin Hill,Tae-Hwi Schwantes-An,Dongbing Lai,Andrew Carroll,Brian D. Hobbs,Michael H. Cho,Cory Y. McLean,Farhad Hormozdiari

Nature genetics（2023）

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Unsupervised Representation Learning Improves Genomic Discovery and Risk Prediction for Respiratory and Circulatory Functions and Diseases

Taedong Yun,Justin Cosentino,Babak Behsaz,Zachary R McCaw,Davin Hill,Robert Luben,Dongbing Lai,John Bates,Howard Yang,Tae-Hwi Schwantes-An, Yuchen Zhou,Anthony P Khawaja,Andrew Carroll,Brian D Hobbs,Michael H Cho,Cory Y McLean,Farhad Hormozdiari

medRxiv the preprint server for health sciences (2023)

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