Evaluating Large Language Models for Food Supplement Development: A Case Study in Glycemic Control

Nevertheless, expert input remains essential for accurate evaluation, scientific validation, and regulatory compliance, as these models cannot yet replace domain expertise or rigorous experimentation in food supplement development.

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Publication Details

Journal
Nutrients
Published
2026-04-14
DOI
https://doi.org/10.3390/nu18081228
Primary Topic
Pharmaceutical Quality and Counterfeiting
Type
article
Field-Weighted Citation Impact
0.00
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article

Evaluating Large Language Models for Food Supplement Development: A Case Study in Glycemic Control

Mária Figler, Roland Zsolt Szabó, Andor Zsolt Háber
Nutrients
Pharmaceutical Quality and Counterfeiting
article

Evaluating Large Language Models for Food Supplement Development: A Case Study in Glycemic Control

Mária Figler, Roland Zsolt Szabó, Andor Zsolt Háber
article en

Abstract

Nevertheless, expert input remains essential for accurate evaluation, scientific validation, and regulatory compliance, as these models cannot yet replace domain expertise or rigorous experimentation in food supplement development.

NutrientsVol. 18(8)
University of Pecs (HU), Széchenyi István University (HU)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Pharmaceutical Quality and Counterfeiting
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Evaluating Large Language Models for Food Supplement Development: A Case Study in Glycemic Control — Mária Figler, Roland Zsolt Szabó, et al. · Nutrients (2026) | TGRS Research Map | TGRS