Jove
Visualize
Contact Us

Related Concept Videos

Regulation of Food Intake01:30

Regulation of Food Intake

2.3K
Short-term regulation of food intake primarily involves neural signals from the gastrointestinal (GI) tract, blood nutrient levels, and GI tract hormones. Communication between the gut and brain via vagal nerve fibers plays a significant role in evaluating the contents of the gut. Clinical studies have shown that protein ingestion produces a more prolonged response in these nerve fibers compared to an equivalent amount of glucose. Additionally, the activation of stretch receptors caused by GI...
2.3K
Proteins: Dietary Sources and Requirements01:28

Proteins: Dietary Sources and Requirements

1.4K
Consuming animal-based products offers high-quality proteins that contain optimal levels and combinations of essential amino acids, crucial for tissue repair and growth. Foods like eggs, milk, fish, and most meats are a source of complete proteins. Legumes and cereals are abundant in proteins; however, they typically lack a full range of essential amino acids. As a result, they are considered incomplete protein sources. Some plant sources like soybeans, quinoa, and amaranth do contain complete...
1.4K
Inflammatory Bowel Disease III: Diagnostic Studies and Management I-Nutritional Therapy01:30

Inflammatory Bowel Disease III: Diagnostic Studies and Management I-Nutritional Therapy

635
Various diagnostic tests are employed in the diagnostic process for Inflammatory Bowel Disease (IBD), particularly to differentiate between Crohn's disease and ulcerative colitis.
Diagnostic studies
A colonoscopy is the definitive screening test, distinguishing ulcerative colitis from other colon diseases with similar symptoms. During a colonoscopy test, inflamed mucosa with exudate ulcerations can be observed, and biopsies are taken to determine the histologic characteristics of the...
635
Key Elements for Plant Nutrition02:35

Key Elements for Plant Nutrition

23.9K
Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...
23.9K
Genomics02:02

Genomics

39.6K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.6K
What is Genetic Engineering?00:49

What is Genetic Engineering?

79.6K
Overview
79.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effects of Allulose vs Aspartame Consumption on Postprandial Glucagon-Like Peptide-1 Profiles and Metabolic Health: Protocol for a Randomized, Crossover, Double-Blind, Placebo-Controlled Trial.

JMIR research protocols·2026
Same author

Plant-Based vs. Pork Sausages: Protein Nutritional Quality and Antioxidant Potential in the Bioaccessible Fraction.

Foods (Basel, Switzerland)·2025
Same author

Fingernail Mineral Profiling as a Non-Invasive Tool to Assess Dietary and Lifestyle Factors: Results From the Cross-Sectional Fulda NutriNAIL Study.

BioFactors (Oxford, England)·2025
Same author

A Balancing Act-20 Years of Nutrition and Health Claims Regulation in Europe: A Historical Perspective and Reflection.

Foods (Basel, Switzerland)·2025
Same author

A New LC-MS/MS-Based Method for the Simultaneous Detection of α-Tocopherol and Its Long-Chain Metabolites in Plasma Samples Using Stable Isotope Dilution Analysis.

Pharmaceuticals (Basel, Switzerland)·2024
Same author

Can the AI tools ChatGPT and Bard generate energy, macro- and micro-nutrient sufficient meal plans for different dietary patterns?

Nutrition research (New York, N.Y.)·2024
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jan 14, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.8K

GenAI in nutritional sciences (GAINS): A systematic review and reporting framework for future research.

Bettina Hieronimus1, Maria-Laura Lopez-Aguirre2, Marc Birringer3

  • 1Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany.

Nutrition Research (New York, N.Y.)
|October 25, 2025
PubMed
Summary

Large language model (LLM)-powered chatbots show potential for nutritional advice, but are not yet ready for unsupervised use due to limitations with complex cases and occasional inaccuracies. Further research is needed to improve their reliability.

Keywords:
Artificial intelligenceChatbotsGAINSGenerative AINutrition adviceReporting guidelineSystematic review

More Related Videos

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

916
The Caco-2 Cell Bioassay for Measurement of Food Iron Bioavailability
06:34

The Caco-2 Cell Bioassay for Measurement of Food Iron Bioavailability

Published on: April 28, 2022

5.5K

Related Experiment Videos

Last Updated: Jan 14, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.8K
Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

916
The Caco-2 Cell Bioassay for Measurement of Food Iron Bioavailability
06:34

The Caco-2 Cell Bioassay for Measurement of Food Iron Bioavailability

Published on: April 28, 2022

5.5K

Area of Science:

  • Nutritional Sciences
  • Artificial Intelligence in Healthcare
  • Medical Informatics

Background:

  • Large language models (LLMs) are increasingly integrated into healthcare.
  • LLM-powered chatbots are being explored for their potential to offer nutritional guidance.
  • Existing evidence on the quality of chatbot-provided nutritional advice requires synthesis.

Purpose of the Study:

  • To systematically review and synthesize evidence on the quality of nutritional advice from LLM-powered chatbots.
  • To assess the suitability of chatbots for advice on metabolic diseases, food allergies, nutrient intake, and pregnancy/lactation nutrition.
  • To identify limitations and methodological gaps in current research.

Main Methods:

  • A pre-registered systematic review (CRD42025619448) was conducted.
  • An extensive search identified 2469 records, with 13 studies meeting inclusion criteria.
  • Standardized data extraction and quality evaluations were performed.

Main Results:

  • LLM-powered chatbots show potential but struggle with complex cases and may provide incorrect information.
  • Substantial methodological heterogeneity was found in evaluation criteria and study design.
  • Limitations include subjective measures and lack of reproducibility testing.

Conclusions:

  • LLM-powered chatbots demonstrate potential for supporting nutritional advice but are not yet suitable for unsupervised use.
  • Significant methodological gaps necessitate improved rigor, transparency, and comparability in future studies.
  • A proposed reporting guideline, Generative AI in Nutritional Sciences (GAINS), aims to address these gaps.