Objective To compare the diagnostic accuracy of minipad collected menstrual blood versus clinician collected cervical samples to test for human papillomavirus (HPV) in the detection of cervical ...
Machine learning reveals widespread integrity concerns in cancer studies, highlighting paper mill risks and why publishers must strengthen research oversight.
Addressing ovarian cancer research gaps in under-resourced settings using individual initiatives: The OVANORDEST pilot project in Morocco. This is an ASCO Meeting Abstract from the ASCO Breakthrough: ...
A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...
A large cross-sectional study in the Journal of Nutrition Education and Behavior (JNEB), published by Elsevier, examined how psychosocial and environmental factors relate to diet quality among 2,420 ...
By Tarun Sai Lomte New research explores how attention difficulties, sleep disruption, and cognitive control challenges ...
Objectives To assess the clinical competence of sports medicine physicians to recognise and report harassment and abuse in sports, and to identify barriers to reporting and the need for safeguarding ...