Evaluate Nutrigenetics Research with Precision
NutriGenAI automates the quality assessment of nutrition and genetics research papers using the Q-Genie framework for individual studies and the Grimaldi framework for multi-study evidence synthesis — delivering comprehensive, evidence-based evaluation reports in minutes.
Q-Genie Criteria
Sub-Criteria Assessed
Page Reports
Average Processing
How NutriGenAI Works
Upload your paper, receive a comprehensive quality assessment based on the internationally recognised Q-Genie framework.
Upload Paper
Upload your nutrigenetics/nutrigenomics research paper in PDF format.
AI Analysis
Our AI evaluates against all 11 Q-Genie quality criteria with detailed scoring.
Get Report
Download a comprehensive quality assessment report with scores and recommendations.
The Q-Genie Framework
Eleven rigorous quality criteria purpose-built for assessing genetic association studies.
Study Rationale & Outcome
Evaluates the scientific hypothesis, outcome definition, and participant sampling to avoid selection bias.
Genotyping Quality
Assesses DNA source, genotyping platform, call rates, HWE testing, blinding, and batch consistency.
Statistical Rigour
Evaluates sample size, a priori planning, confounding control, multiple testing corrections, and genetic assumptions.
Bias & Inferences
Assesses disclosure of bias sources and whether conclusions are proportionate to the evidence presented.
Comprehensive Reports
Every evaluation produces a detailed, publication-quality report.
This platform has been created by Yiannis Mavrommatis with the aim to promote critical thinking and high scientific standards in nutrition genetics. The outputs generated by nutrigen.ai should not be considered a substitute for expert scientific review, systematic evidence assessment, peer review, regulatory evaluation, or professional judgment.
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