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FAIR Digital Twins for Data-Intensive Research
FAIR Digital Twins for Data-Intensive Research
Visiestuk Towards digital life
Visiestuk Towards digital life: een toekomstvisie op AI anno 2032 [Vision paper Towards digital life: a vision of AI in 2032]
The future of food and nutrition in ELIXIR [version 1; peer review
The future of food and nutrition in ELIXIR [version 1; peer review: 1 approved with reservations]
Gut microbiome composition in obese and non-obese persons
Gut microbiome composition in obese and non-obese persons: A systematic review and meta-analysis
HDHL-INTIMIC
HDHL-INTIMIC: A European Knowledge Platform on Food, Diet, Intestinal Microbiomics, and Human Health
Assessment of Oxidative Stress and Metabolic Risks With Machine Learning Algorithms in Ethnically Diverse Population
Assessment of Oxidative Stress and Metabolic Risks With Machine Learning Algorithms in Ethnically Diverse Population: Cross-Sectional Data in Korea and the Netherlands
Dietary Macronutrient Composition in Relation to Circulating HDL and Non-HDL Cholesterol
Dietary Macronutrient Composition in Relation to Circulating HDL and Non-HDL Cholesterol: A Federated Individual-Level Analysis of Cross-Sectional Data from Adolescents and Adults in 8 European Studies
Digital Resilience Biomarkers for Personalized Health Maintenance and Disease Prevention
Digital Resilience Biomarkers for Personalized Health Maintenance and Disease Prevention
Identification and Characterization of Human Observational Studies in Nutritional Epidemiology on Gut Microbiomics for Joint Data Analysis
Identification and Characterization of Human Observational Studies in Nutritional Epidemiology on Gut Microbiomics for Joint Data Analysis
A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology
A Machine Learning Algorithm for Quantitatively Diagnosing Oxidative Stress Risks in Healthy Adult Individuals Based on Health Space Methodology: A Proof-of-Concept Study Using Korean Cross-Sectional Cohort Data
A Proof-of-Concept System Dynamics Simulation Model of the Development of Burnout and Recovery Using Retrospective Case Data
A Proof-of-Concept System Dynamics Simulation Model of the Development of Burnout and Recovery Using Retrospective Case Data
OBEDIS Core Variables Project
OBEDIS Core Variables Project: European Expert Guidelines on a Minimal Core Set of Variables to Include in Randomized, Controlled Clinical Trials of Obesity Interventions
Perspective: Towards Automated Tracking of Content and Evidence Appraisal of Nutrition Research
Perspective: Towards Automated Tracking of Content and Evidence Appraisal of Nutrition Research
Stay healthy, and in control of your data [Blijf gezond en houd de controle over je data]
Stay healthy, and in control of your data [Blijf gezond en houd de controle over je data]
Addendum
Addendum: The FAIR Guiding Principles for scientific data management and stewardship
An Ontology to Standardize Research Output of Nutritional Epidemiology
An Ontology to Standardize Research Output of Nutritional Epidemiology: From Paper-Based Standards to Linked Content
Current and Future Nutritional Strategies to Modulate Inflammatory Dynamics in Metabolic Disorders
Current and Future Nutritional Strategies to Modulate Inflammatory Dynamics in Metabolic Disorders
Integrated Analys of High-Fat Challenge-Induced Changes in Blood Cell Whole-Genome Gene Expression
Integrated Analys of High-Fat Challenge-Induced Changes in Blood Cell Whole-Genome Gene Expression
Joint data analysis in nutritional epidemiology
Joint data analysis in nutritional epidemiology: Identification of observational studies and minimal requirements
ONS
ONS: An ontology for a standardized description of interventions and observational studies in nutrition
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