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Cory Y McLean

Showing results (21-30 of 31) with videos related to

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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.
Nature Communications|January 12, 2026
Transforming wearable data into personal health insights using large language model agentsMike A Merrill, Akshay Paruchuri, Naghmeh Rezaei, 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.
Nature Biotechnology|September 1, 2022
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformerGunjan Baid, Daniel E Cook, Kishwar Shafin, 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.
Nature Medicine|August 14, 2025
A personal health large language model for sleep and fitness coachingJustin Khasentino, Anastasiya Belyaeva, Xin Liu, et al.
Science (New York, N.Y.)|December 17, 2013
Mutational analysis reveals the origin and therapy-driven evolution of recurrent gliomaBrett E Johnson, Tali Mazor, Chibo Hong, et al.
Nature|May 19, 2026
An AI system to help scientists write expert-level empirical softwareEser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, et al.
The Lancet. Neurology|August 15, 2015
Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling studyMike A Nalls, Cory Y McLean, Jacqueline Rick, et al.
Annals of Neurology|May 3, 2021
Genomewide Association Studies of LRRK2 Modifiers of Parkinson's DiseaseDongbing Lai, Babak Alipanahi, Pierre Fontanillas, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
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.
Nature Communications|January 12, 2026
Transforming wearable data into personal health insights using large language model agentsMike A Merrill, Akshay Paruchuri, Naghmeh Rezaei, 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.
Nature Biotechnology|September 1, 2022
DeepConsensus improves the accuracy of sequences with a gap-aware sequence transformerGunjan Baid, Daniel E Cook, Kishwar Shafin, 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.
Nature Medicine|August 14, 2025
A personal health large language model for sleep and fitness coachingJustin Khasentino, Anastasiya Belyaeva, Xin Liu, et al.
Science (New York, N.Y.)|December 17, 2013
Mutational analysis reveals the origin and therapy-driven evolution of recurrent gliomaBrett E Johnson, Tali Mazor, Chibo Hong, et al.
Nature|May 19, 2026
An AI system to help scientists write expert-level empirical softwareEser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, et al.
The Lancet. Neurology|August 15, 2015
Diagnosis of Parkinson's disease on the basis of clinical and genetic classification: a population-based modelling studyMike A Nalls, Cory Y McLean, Jacqueline Rick, et al.
Annals of Neurology|May 3, 2021
Genomewide Association Studies of LRRK2 Modifiers of Parkinson's DiseaseDongbing Lai, Babak Alipanahi, Pierre Fontanillas, et al.
Pageof 4