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David Sontag

Showing results (31-40 of 40) with videos related to

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Scientific Reports|October 20, 2020
Predicting human health from biofluid-based metabolomics using machine learningEthan D Evans, Claire Duvallet, Nathaniel D Chu, et al.
NPJ Digital Medicine|July 29, 2024
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myelomaZeshan Hussain, Edward De Brouwer, Rebecca Boiarsky, et al.
ACR Open Rheumatology|February 12, 2020
Predicting Remission Among Patients With Rheumatoid Arthritis Starting Tocilizumab Monotherapy: Model Derivation and Remission Score DevelopmentJamie E Collins, Fredrik D Johansson, Sara Gale, et al.
The Journal of Rheumatology|May 2, 2021
Predicting Response to Tocilizumab Monotherapy in Rheumatoid Arthritis: A Real-world Data Analysis Using Machine LearningFredrik D Johansson, Jamie E Collins, Vincent Yau, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Cell-specific prediction and application of drug-induced gene expression profilesRachel Hodos, Ping Zhang, Hao-Chih Lee, et al.
Canadian Journal of Anaesthesia = Journal Canadien D'Anesthesie|June 26, 2025
Effects of anesthesia modality on plasma proteomics and biomarkers of inflammation and vascular injury: an exploratory analysisNathan Wiebe, Victor Spicer, David Sontag, et al.
Nature Communications|November 17, 2022
Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesisRebecca Boiarsky, Nicholas J Haradhvala, Jean-Baptiste Alberge, et al.
F1000Research|April 6, 2026
Assessing the effects of fluids and antibiotics in an acute murine model of sepsis: study protocol for the National Preclinical Sepsis Platform-01 (NPSP-01) StudyForough Jahandideh, Asher A Mendelson, Patricia C Liaw, et al.
Intensive Care Medicine Experimental|July 17, 2023
Development and characterization of a fecal-induced peritonitis model of murine sepsis: results from a multi-laboratory study and iterative modification of experimental conditionsNeha Sharma, Damian Chwastek, Dhruva J Dwivedi, et al.
Annals of the Rheumatic Diseases|April 21, 2023
Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomesMay Yee Choi, Irene Chen, Ann Elaine Clarke, et al.
Pageof 4

Showing results (31-40 of 40) with videos related to

Sort By:
Pageof 4
You have reached the last page of results.This site can display upto 40 results.
Scientific Reports|October 20, 2020
Predicting human health from biofluid-based metabolomics using machine learningEthan D Evans, Claire Duvallet, Nathaniel D Chu, et al.
NPJ Digital Medicine|July 29, 2024
Joint AI-driven event prediction and longitudinal modeling in newly diagnosed and relapsed multiple myelomaZeshan Hussain, Edward De Brouwer, Rebecca Boiarsky, et al.
ACR Open Rheumatology|February 12, 2020
Predicting Remission Among Patients With Rheumatoid Arthritis Starting Tocilizumab Monotherapy: Model Derivation and Remission Score DevelopmentJamie E Collins, Fredrik D Johansson, Sara Gale, et al.
The Journal of Rheumatology|May 2, 2021
Predicting Response to Tocilizumab Monotherapy in Rheumatoid Arthritis: A Real-world Data Analysis Using Machine LearningFredrik D Johansson, Jamie E Collins, Vincent Yau, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Cell-specific prediction and application of drug-induced gene expression profilesRachel Hodos, Ping Zhang, Hao-Chih Lee, et al.
Canadian Journal of Anaesthesia = Journal Canadien D'Anesthesie|June 26, 2025
Effects of anesthesia modality on plasma proteomics and biomarkers of inflammation and vascular injury: an exploratory analysisNathan Wiebe, Victor Spicer, David Sontag, et al.
Nature Communications|November 17, 2022
Single cell characterization of myeloma and its precursor conditions reveals transcriptional signatures of early tumorigenesisRebecca Boiarsky, Nicholas J Haradhvala, Jean-Baptiste Alberge, et al.
F1000Research|April 6, 2026
Assessing the effects of fluids and antibiotics in an acute murine model of sepsis: study protocol for the National Preclinical Sepsis Platform-01 (NPSP-01) StudyForough Jahandideh, Asher A Mendelson, Patricia C Liaw, et al.
Intensive Care Medicine Experimental|July 17, 2023
Development and characterization of a fecal-induced peritonitis model of murine sepsis: results from a multi-laboratory study and iterative modification of experimental conditionsNeha Sharma, Damian Chwastek, Dhruva J Dwivedi, et al.
Annals of the Rheumatic Diseases|April 21, 2023
Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomesMay Yee Choi, Irene Chen, Ann Elaine Clarke, et al.
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