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Microbiome
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March 15, 2023
NEMoE: a nutrition aware regularized mixture of experts model to identify heterogeneous diet-microbiome-host health interactions
Xiangnan Xu, Michal Lubomski, Andrew J Holmes, et al.
Frontiers in Aging Neuroscience
|
June 1, 2022
Nutritional Intake and Gut Microbiome Composition Predict Parkinson's Disease
Michal Lubomski, Xiangnan Xu, Andrew J Holmes, et al.
Frontiers in Aging Neuroscience
|
June 3, 2022
The Gut Microbiome in Parkinson's Disease: A Longitudinal Study of the Impacts on Disease Progression and the Use of Device-Assisted Therapies
Michal Lubomski, Xiangnan Xu, Andrew J Holmes, et al.
Contact Dermatitis
|
October 18, 2023
The BMDC model, a performant cell-based test to assess the sensitizing potential and potency of chemicals including pre/pro-haptens
Fabrice Battais, Isabelle Langonné, Samuel Muller, et al.
Xenobiotica; the Fate of Foreign Compounds in Biological Systems
|
August 8, 2017
Toluene and methylethylketone: effect of combined exposure on their metabolism in rat
Frédéric Cosnier, Hervé Nunge, Élodie Bonfanti, et al.
Briefings in Bioinformatics
|
February 21, 2025
eNODAL: an experimentally guided nutriomics data clustering method to unravel complex drug-diet interactions
Xiangnan Xu, Alistair M Senior, David G Le Couteur, et al.
Drug and Chemical Toxicology
|
June 22, 2017
Metabolism of inhaled methylethylketone in rats
Frédéric Cosnier, Stéphane Grossmann, Hervé Nunge, et al.
NPJ Digital Medicine
|
July 5, 2022
Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine
Kevin Y X Wang, Gulietta M Pupo, Varsha Tembe, et al.
Page
of 3
Search research articles
Search
Showing results (21-30 of 28) with videos related to
Sort By:
Page
of 3
You have reached the last page of results.
This site can display upto 28 results.
Microbiome
|
March 15, 2023
NEMoE: a nutrition aware regularized mixture of experts model to identify heterogeneous diet-microbiome-host health interactions
Xiangnan Xu, Michal Lubomski, Andrew J Holmes, et al.
Frontiers in Aging Neuroscience
|
June 1, 2022
Nutritional Intake and Gut Microbiome Composition Predict Parkinson's Disease
Michal Lubomski, Xiangnan Xu, Andrew J Holmes, et al.
Frontiers in Aging Neuroscience
|
June 3, 2022
The Gut Microbiome in Parkinson's Disease: A Longitudinal Study of the Impacts on Disease Progression and the Use of Device-Assisted Therapies
Michal Lubomski, Xiangnan Xu, Andrew J Holmes, et al.
Contact Dermatitis
|
October 18, 2023
The BMDC model, a performant cell-based test to assess the sensitizing potential and potency of chemicals including pre/pro-haptens
Fabrice Battais, Isabelle Langonné, Samuel Muller, et al.
Xenobiotica; the Fate of Foreign Compounds in Biological Systems
|
August 8, 2017
Toluene and methylethylketone: effect of combined exposure on their metabolism in rat
Frédéric Cosnier, Hervé Nunge, Élodie Bonfanti, et al.
Briefings in Bioinformatics
|
February 21, 2025
eNODAL: an experimentally guided nutriomics data clustering method to unravel complex drug-diet interactions
Xiangnan Xu, Alistair M Senior, David G Le Couteur, et al.
Drug and Chemical Toxicology
|
June 22, 2017
Metabolism of inhaled methylethylketone in rats
Frédéric Cosnier, Stéphane Grossmann, Hervé Nunge, et al.
NPJ Digital Medicine
|
July 5, 2022
Cross-Platform Omics Prediction procedure: a statistical machine learning framework for wider implementation of precision medicine
Kevin Y X Wang, Gulietta M Pupo, Varsha Tembe, et al.
Page
of 3