Paraskevi Massara

Toronto, ON, Canada

Last Updated: 09/26/2026

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Found 16 publications

Training Perspectives from the NIH T32 Artificial Intelligence for Precision Nutrition Programs.

Training Perspectives from the NIH T32 Artificial Intelligence for Precision Nutrition Programs.

Journal: The Journal of nutrition

Published: May 04, 2026

Improving Dietary Data Quality in Nutrition Studies: Development and Validation of an Explainable, Reproducible, Open Machine Learning-Assisted Framework for Outlier Detection in 24-Hour Recalls.

Improving Dietary Data Quality in Nutrition Studies: Development and Validation of an Explainable, Reproducible, Open Machine Learning-Assisted Framework for Outlier Detection in 24-Hour Recalls.

Journal: American journal of epidemiology

Published: April 29, 2026

Applying Artificial Intelligence and machine learning in precision nutrition.

Applying Artificial Intelligence and machine learning in precision nutrition.

Journal: Nature communications

Published: October 14, 2025

Predictors of weight gain in under-five children with severe acute malnutrition: A machine learning analysis of a tertiary care hospital dataset.

Predictors of weight gain in under-five children with severe acute malnutrition: A machine learning analysis of a tertiary care hospital dataset.

Journal: Clinical nutrition ESPEN

Published: July 11, 2025

Understanding the association of longitudinal body mass index patterns in children and their parents: A data-driven study from the TARGet Kids! cohort.

Understanding the association of longitudinal body mass index patterns in children and their parents: A data-driven study from the TARGet Kids! cohort.

Journal: Obesity research & clinical practice

Published: August 29, 2024

Data on microRNA expression, predicted gene targets and pathway analysis in response to different concentrations of a cranberry proanthocyanidin-rich extract and its metabolite 3-(4-hydroxyphenyl)-propionic acid in intestinal Caco-2BBe1 cells.

Data on microRNA expression, predicted gene targets and pathway analysis in response to different concentrations of a cranberry proanthocyanidin-rich extract and its metabolite 3-(4-hydroxyphenyl)-propionic acid in intestinal Caco-2BBe1 cells.

Journal: Data in brief

Published: December 05, 2023

Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data.

Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data.

Journal: BMJ paediatrics open

Published: November 11, 2023

A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features.

A novel systematic pipeline for increased predictability and explainability of growth patterns in children using trajectory features.

Journal: International journal of medical informatics

Published: February 02, 2023

New approaches and technical considerations in detecting outlier measurements and trajectories in longitudinal children growth data.

New approaches and technical considerations in detecting outlier measurements and trajectories in longitudinal children growth data.

Journal: BMC medical research methodology

Published: August 22, 2022

Neurodevelopment and Recovery From Wasting.

Neurodevelopment and Recovery From Wasting.

Journal: Pediatrics

Published: June 29, 2022

A novel shape-based approach to identify gestational age-adjusted growth patterns from birth to 11 years of age.

A novel shape-based approach to identify gestational age-adjusted growth patterns from birth to 11 years of age.

Journal: Scientific reports

Published: May 19, 2022

Association between gut MIcrobiota, GROWth and Diet in peripubertal children from the TARGet Kids! cohort (The MiGrowD) study: protocol for studying gut microbiota at a community-based primary healthcare setting.

Association between gut MIcrobiota, GROWth and Diet in peripubertal children from the TARGet Kids! cohort (The MiGrowD) study: protocol for studying gut microbiota at a community-based primary healthcare setting.

Journal: BMJ open

Published: May 09, 2022

Showing 1-12 of 16

Last Updated: 09/26/2026