Evidence map›Paper›PMID 39666874›Full record

ArticleFEBS open bio2025

Using TECHnology to predict the future of biomedical education.

Robert A Harris, Hasan Kazdağlı

Abstract read
In one paragraph

Article in FEBS open bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Robert A HarrisDepartment of Clinical Neuroscience, Karolinska Institutet, Centre for Molecular Medicine, Karolinska Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-4990-509X
Hasan KazdağlıVocational School of Health Services, İzmir University of Economics, İzmir, Türkiye.ORCID https://orcid.org/0000-0001-6617-604X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomedical research is currently benefiting from a technological revolution in which multiple forms of omics are permitting unprecedented characterization of molecular pathways. Likewise, medical device and Ai-assisted technologies now make diagnoses and medical imaging more accurate. The field of education is also starting to embrace how technology can promote pedagogical development and student learning. But how will this landscape look like in 2050? With the premise that collaboration will be central to teaching and learning practices, that Together, Everything Can Happen (TECH), we examine the emerging trends and innovations in biomedical education, exploring how they will influence the field's evolution and shape future teaching practices in the coming years.

Indexed as

Biomedical ResearchEducation, MedicalHumansLearningartificial intelligencedigitilizationeducationresearch

Identifiers

PMID39666874
PMCPMC11705505

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.