This large-scale life science study uncovers gendered citation homophily — men overcite men and women overcite women — which, Zhou et al. argue, disadvantages women in male-dominated fields and distorts knowledge flow.
[Res Policy 2024;53(1):104895]
The IPOF Scientific Committee is seeking submissions of research and case report abstracts to be presented virtually or in person (in Cincinnati) at the Immunotherapy and Precision Oncology Forum on 11 April 2026. Deadline for abstracts: 31 January 2026.
New Directions for Higher Education is calling for proposals (1000 words) on integrating health and well-being into higher education as core to equity, resilience, and institutional sustainability using structural, public health, or justice frameworks. Deadline: 15 February 2026.
Pediatrics invites trainee essays on AI’s impact in child health, exploring its benefits, risks, ethics, and equity in clinical care and education for the Section on Pediatric Trainees (SOPT) monthly feature. There is no hard deadline.
In this commentary by editors of Medical Teacher, Ken Masters and Jennifer Cleland urge transparent, accountable AI use in peer review, allowing assistive roles but protecting confidentiality and keeping humans responsible for editorial judgments.
[Med Teach 10 Jan 2026]
“Stealth corrections” — undocumented post-publication changes — are quietly rewriting published research, argue Aquarius et al., pointing to 131 altered articles that may only be the tip of the iceberg. What does this means for trust in science?
[Learn Publ 2025;38(2):e1660]
Emphasizing that referencing is a values-laden practice that not only provides credit but shapes knowledge itself, Bart Penders lays out ten practical rules to help authors cite in ways that are accurate, fair, and ethically responsible.
[PLOS Comput Biol 2018;14(4):e1006036]
Genomic Medicine is calling for papers on integrating environmental factors into precision medicine through genomic and multi-omic research. Submission deadline: 19 February 2026.
Automated MeSH indexing in PubMed keeps confusing figurative “apples” for real ones, discovers Paije Wilson — exposing quirky but consequential errors that librarians and researchers must now learn to outsmart.
[JMLA 2025;113(4):318-326]
Can AI supercharge medical training without eroding clinical judgment? In this review article Abdulnour et al. map the hidden risks of the technology and recommend practical supervision tactics and a simple framework every educator should know.
[NEJM 2025;393(8):786-797]
