Credits & Contributors

A collaborative research initiative focused on improving biomedical keyword discovery and MeSH recommendation workflows.

Portrait of Leah Everitt, MSLS

CREATOR

Leah Everitt, MSLS

Research & Education Librarian and Assistant Professor at University of New Mexico's Health Sciences Library and Informatics Center

Leah Everitt, MSLS Research & Education Librarian and Assistant Professor at University of New Mexico's Health Sciences Library and Informatics Center (ORCID: 0000-0003-0198-2512) is the creator of MeSH Recommender.

Previously Everitt was an Associate Fellow at the National Library of Medicine which is where they got the idea for the program.

Presentations & Publications

Research presentations and scholarly contributions related to the MeSH Recommender 2026 project.

ASIS&T Information Science Summit conference graphic

Everitt L.

Oral Presentation

Designing and Evaluating a PubMed Metadata Text Mining Software Program

2026 June 8 Albuquerque, NM, USA

Association for Information Science & Technology Information Science Summit & Special Libraries Conference

Medical Library Association Annual Meeting 2026 badge

Everitt L.

Oral Presentation

Designing and Evaluating a PubMed Metadata Text Mining Software Program

2026 May 21 Milwaukee, WI, USA

Medical Library Association Annual Meeting 2026

University of New Mexico Library Scholarship Day graphic

Everitt L.

Oral Presentation

Designing and Evaluating a PubMed Metadata Text Mining Software Program

2025 November 12 Albuquerque, NM, USA

University of New Mexico Library Scholarship Day

Open Source Repository

LEAHEVERITT/MESH_RECOMMENDER_2025

This project is openly accessible on GitHub to support transparency, collaboration, and continued research development within the biomedical community.

PARTNERSHIPS & FUNDING

PROJECT FUNDING

University of New Mexico Health Sciences Library & Informatics Center 2026 Seed Grant

DESIGN & DEVELOPMENT

Loka Creative

LOKA
CREATIVE
Health Sciences