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Critical Care Medicine
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March 15, 2018
Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters
Timothy E Sweeney, Tej D Azad, Michele Donato, et al.
The Journal of Rheumatology
|
June 15, 2024
Clinical Validation of Digitally Acquired Clinical Data and Machine Learning Models for Remote Measurement of Psoriasis and Psoriatic Arthritis: A Proof-of-Concept Study
Dan E Webster, Rebecca H Haberman, Lourdes M Perez-Chada, et al.
Nature Biotechnology
|
April 12, 2016
Analysis of 589,306 genomes identifies individuals resilient to severe Mendelian childhood diseases
Rong Chen, Lisong Shi, Jörg Hakenberg, et al.
Annals of Clinical and Translational Neurology
|
December 22, 2020
Design of a virtual longitudinal observational study in Parkinson's disease (AT-HOME PD)
Ruth B Schneider, Larsson Omberg, Eric A Macklin, et al.
Nature Communications
|
February 17, 2018
A community approach to mortality prediction in sepsis via gene expression analysis
Timothy E Sweeney, Thanneer M Perumal, Ricardo Henao, et al.
Journal of Parkinson'S Disease
|
May 24, 2020
Deep Phenotyping of Parkinson's Disease
E Ray Dorsey, Larsson Omberg, Emma Waddell, et al.
Open Forum Infectious Diseases
|
October 9, 2025
Accelerating Cough-Based Algorithms for Pulmonary Tuberculosis Screening: Results From the CODA TB DREAM Challenge
Devan Jaganath, Solveig K Sieberts, Mihaja Raberahona, et al.
Cell
|
August 12, 2014
Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin
Katherine A Hoadley, Christina Yau, Denise M Wolf, et al.
American Journal of Human Genetics
|
October 9, 2012
Population genetic inference from personal genome data: impact of ancestry and admixture on human genomic variation
Jeffrey M Kidd, Simon Gravel, Jake Byrnes, et al.
NPJ Digital Medicine
|
March 20, 2021
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
Solveig K Sieberts, Jennifer Schaff, Marlena Duda, et al.
Page
of 6
Search research articles
Search
Showing results (41-50 of 52) with videos related to
Sort By:
Page
of 6
Critical Care Medicine
|
March 15, 2018
Unsupervised Analysis of Transcriptomics in Bacterial Sepsis Across Multiple Datasets Reveals Three Robust Clusters
Timothy E Sweeney, Tej D Azad, Michele Donato, et al.
The Journal of Rheumatology
|
June 15, 2024
Clinical Validation of Digitally Acquired Clinical Data and Machine Learning Models for Remote Measurement of Psoriasis and Psoriatic Arthritis: A Proof-of-Concept Study
Dan E Webster, Rebecca H Haberman, Lourdes M Perez-Chada, et al.
Nature Biotechnology
|
April 12, 2016
Analysis of 589,306 genomes identifies individuals resilient to severe Mendelian childhood diseases
Rong Chen, Lisong Shi, Jörg Hakenberg, et al.
Annals of Clinical and Translational Neurology
|
December 22, 2020
Design of a virtual longitudinal observational study in Parkinson's disease (AT-HOME PD)
Ruth B Schneider, Larsson Omberg, Eric A Macklin, et al.
Nature Communications
|
February 17, 2018
A community approach to mortality prediction in sepsis via gene expression analysis
Timothy E Sweeney, Thanneer M Perumal, Ricardo Henao, et al.
Journal of Parkinson'S Disease
|
May 24, 2020
Deep Phenotyping of Parkinson's Disease
E Ray Dorsey, Larsson Omberg, Emma Waddell, et al.
Open Forum Infectious Diseases
|
October 9, 2025
Accelerating Cough-Based Algorithms for Pulmonary Tuberculosis Screening: Results From the CODA TB DREAM Challenge
Devan Jaganath, Solveig K Sieberts, Mihaja Raberahona, et al.
Cell
|
August 12, 2014
Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin
Katherine A Hoadley, Christina Yau, Denise M Wolf, et al.
American Journal of Human Genetics
|
October 9, 2012
Population genetic inference from personal genome data: impact of ancestry and admixture on human genomic variation
Jeffrey M Kidd, Simon Gravel, Jake Byrnes, et al.
NPJ Digital Medicine
|
March 20, 2021
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge
Solveig K Sieberts, Jennifer Schaff, Marlena Duda, et al.
Page
of 6