NIH-funded research R01 grant

Improving how biomedical articles are indexed for easier access

Official title: Automated Indexing for Publication Types and Study Designs

Funded at University of Illinois at Chicago · NIH-10898031 · Data updated 2026-11-12

This study is working on a new tool called Multi-Tagger 2.0 that will help researchers and healthcare professionals find important medical articles more easily by automatically sorting them into categories, making it quicker for everyone to access the information they need.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionUniversity of Illinois at Chicago
NIH-funded
Lab location1 site (Chicago, UNITED STATES)
Project startAugust 2, 2023
Project endJuly 31, 2026
Funding year2024
Award (this year)$322,210
NIH project number5R01LM014292-02
Project IDNIH-10898031 on NIH RePORTER

Who could benefit from this research

Could help

Ideal candidates for benefiting from this research include healthcare professionals, researchers, and patients involved in clinical studies who rely on accessing biomedical literature.

Less likely to help

Patients who are not engaged in research or do not require access to biomedical literature may not receive direct benefits from this research.

What this research studies

This research focuses on enhancing the indexing of biomedical articles to improve their retrieval from bibliographic databases. It aims to develop an advanced tool called Multi-Tagger 2.0, which will use machine learning to automatically categorize articles by their publication types and study designs. By optimizing the indexing process, the project seeks to make it easier for researchers and healthcare professionals to find relevant literature quickly and efficiently. The study will also evaluate the performance of the indexing methods and ensure that the information is accessible to various users through improved interfaces.

Why it matters

Potential benefit: If successful, this research could significantly streamline the process of finding relevant biomedical literature, ultimately aiding in better-informed healthcare decisions.

How similar studies have gone: Other research has shown success with automated indexing approaches, indicating that this method has potential for effective implementation.

Where this research is happening

  • University of Illinois at Chicago
    Chicago, United States
    Active

Researchers

  • Principal investigator: Smalheiser, Neil R — University of Illinois at Chicago
  • Study coordinator: Smalheiser, Neil R

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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.
Last reviewed 2026-11-14 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.