An AI tool for extracting and visualizing knowledge about metabolites and infectious diseases

SBIR 136 - KITWARE: Viime Extract: An AI-powered Knowledge Graph Extraction System for Metabolomics

NIH-funded research Kitware, INC. · NIH-11214910

This study is creating a user-friendly web app called Viime Extract that uses smart technology to help people understand research about how our body's chemicals relate to infections, making it easier to explore and check important information.

Quick facts

Grant typeNIH-funded research
Study typeNIH-funded research
Funding institutionKitware, INC. NIH-funded
Lab location1 site (Clifton Park, United States)
Project IDNIH-11214910 on NIH RePORTER

What this research studies

This research develops Viime Extract, a web application that uses artificial intelligence to analyze research papers and data related to metabolomics and infectious diseases. By employing large language models, the system generates knowledge graphs that help visualize complex relationships in the data. Users can interact with the data through an intuitive interface, allowing for validation and correction of the extracted information. The application aims to streamline the process of data curation and enhance understanding of metabolomics in the context of infectious diseases.

Who could benefit from this research

Good fit: Ideal candidates for this research are individuals involved in metabolomics or infectious disease research, including scientists and healthcare professionals seeking to enhance their data analysis capabilities.

Not a fit: Patients who are not engaged in research or do not have a background in metabolomics or infectious diseases may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could significantly improve the way researchers and healthcare professionals access and understand complex data related to metabolites and infectious diseases.

How similar studies have performed: Other research has shown success in using AI and knowledge graphs for data analysis, indicating that this approach has potential for meaningful advancements in the field.

Where this research is happening

Clifton Park, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions Communicable DiseasesInfectious Disease PathwayInfectious DiseasesInfectious Disorder
Last reviewed 2026-06-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.