Evidence map›Paper›PMID 40996113›Full record

ArticleBiochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology

An Innovative Pilot Program Approach to Facilitating Interdisciplinary Collaboration Among STEM and Public Health Students in Biomedical AI and Clinical Translational Research.

Rachel Liu-Galvin, Lillian Atchison, Jessica M Ray, Samuel Border, Mishal Khan, Fatemeh Afsari, Pinaki Sarder, Yulia A Levites Strekalova

Abstract read
In one paragraph

Article in Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Rachel Liu-GalvinDepartment of Health Services Research, Management and Policy, College of Public Health and Health Professions, Gainesville, Florida, USA.ORCID 0000-0002-8775-6788
Lillian AtchisonDepartment of Medicine (Quantitative Health), College of Medicine, University of Florida, Gainesville, Florida, USA.
Jessica M RayDepartment of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA.
Samuel BorderDepartment of Medicine (Quantitative Health), College of Medicine, University of Florida, Gainesville, Florida, USA.
Mishal KhanDepartment of Health Services Research, Management and Policy, College of Public Health and Health Professions, Gainesville, Florida, USA.
Fatemeh AfsariDepartment of Medicine (Quantitative Health), College of Medicine, University of Florida, Gainesville, Florida, USA.
Pinaki SarderDepartment of Medicine (Quantitative Health), College of Medicine, University of Florida, Gainesville, Florida, USA.
Yulia A Levites StrekalovaDepartment of Health Services Research, Management and Policy, College of Public Health and Health Professions, Gainesville, Florida, USA.ORCID 0000-0002-6060-1233

Funding

A Computational IMage Analysis Platform (CIMAP) for HuBMAPOT2OD033753 · OD · UNIVERSITY OF FLORIDA · PI JAIN, SANJAY, SARDER, PINAKI · 2022 to 2025
$4.9M
NIH HHS OT2 OD033753NIH HHS OT2OD033753
6 · The paper itself

Abstract

Research internships, designed to enhance students' scientific knowledge, research skills, and confidence, typically focus on a single science, technology, engineering, and mathematics (STEM) discipline and miss the opportunity to facilitate the development of interdisciplinary collaboration skills crucial for translational research. As part of the Human BioMolecular Atlas Program (HuBMAP), we piloted a 5-day spring break research internship with two tracks: technology (targeting STEM students) and policy (targeting public health students). The program, attended by 21 participants and conducted synchronously via Zoom, included interactive virtual sessions, hands-on activities using digital tools, small-group discussions, and reflection assignments, with students collaborating and drawing upon their diverse perspectives to generate hypotheses, solve problems, and practice disseminating scientific findings through abstracts and posters. The internship was well-received, with 17 of 21 participants completing a self-assessment of academic and research abilities before and after the internship, and 18 completing a post-program satisfaction survey. Participants reported increased research self-efficacy and high satisfaction with the program overall, topics addressed, opportunities for peer interaction, program length, and value for academic development. Students' free-text responses highlighted the value of interdisciplinary collaboration. This innovative pilot program and its promising outcomes emphasize the benefits of early interdisciplinary collaboration in students' research careers and provide initial evidence for the effectiveness of a cohort-based research internship for engineering and public health students. We intend to continue developing and refining the curriculum and plan to offer an open-access version accessible for instructors at other institutions.

Indexed as

Cooperative BehaviorEngineeringMathematicsStudents, Public HealthTechnologyTranslational Research, BiomedicalCurriculumHumansPilot ProjectsStudentsartificial intelligencebiomedical workforceinterdisciplinary trainingteam sciencetranslational research

Identifiers

PMID40996113
PMCPMC13360546

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.