Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Davin Hill

Showing results (1-10 of 8) with videos related to

Pageof 1
Sort By:
... International Conference on Learning Representations|February 27, 2026
Explanations of Black-Box Models based on Directional Feature InteractionsAria Masoomi, Davin Hill, Zhonghui Xu, et al.
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.
Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK BiobankDavin Hill, Max Torop, Aria Masoomi, et al.
Research Square|July 9, 2025
Deep Learning of Suboptimal Spirometry to Predict Respiratory Outcomes and MortalityDavin Hill, Max Torop, Aria Masoomi, 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.
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|June 3, 2024
Polygenic and transcriptional risk scores identify chronic obstructive pulmonary disease subtypesMatthew Moll, Julian Hecker, John Platig, et al.
Ebiomedicine|November 7, 2024
Polygenic and transcriptional risk scores identify chronic obstructive pulmonary disease subtypes in the COPDGene and ECLIPSE cohort studiesMatthew Moll, Julian Hecker, John Platig, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
... International Conference on Learning Representations|February 27, 2026
Explanations of Black-Box Models based on Directional Feature InteractionsAria Masoomi, Davin Hill, Zhonghui Xu, et al.
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.
Medrxiv : the Preprint Server for Health Sciences|May 10, 2023
Deep Learning Utilizing Suboptimal Spirometry Data to Improve Lung Function and Mortality Prediction in the UK BiobankDavin Hill, Max Torop, Aria Masoomi, et al.
Research Square|July 9, 2025
Deep Learning of Suboptimal Spirometry to Predict Respiratory Outcomes and MortalityDavin Hill, Max Torop, Aria Masoomi, 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.
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|June 3, 2024
Polygenic and transcriptional risk scores identify chronic obstructive pulmonary disease subtypesMatthew Moll, Julian Hecker, John Platig, et al.
Ebiomedicine|November 7, 2024
Polygenic and transcriptional risk scores identify chronic obstructive pulmonary disease subtypes in the COPDGene and ECLIPSE cohort studiesMatthew Moll, Julian Hecker, John Platig, et al.
Pageof 1