Policing plagiarism of ideas in generative AI-assisted research writing
Peer-Reviewed Publication
Updates every hour. Last Updated: 26-Oct-2026 13:17 ET (26-Oct-2026 17:17 GMT/UTC)
A new commentary written by researchers at Northwestern University and the National Institutes of Health (NIH) that will publish May 18 in Nature Machine Intelligence weighs various options on how to define plagiarism in research manuscript writing in the ever-evolving world of GenAI.
The commentary argues plagiarism in manuscript writing harms the research environment by eroding trust among scientists, misrepresenting the origin and authenticity of scholarly work, and discouraging innovation and original inquiry.
An AI technology is effective at planning the delivery of life-saving radiotherapy for cervical cancer and prostate cancer, according to results from a large international trial led by researchers at University College London (UCL) and the London School of Hygiene & Tropical Medicine (LSHTM).
An experimental drug developed from research at the Medical University of South Carolina is showing early promise for some patients with advanced prostate cancer whose disease no longer responds to standard hormone therapies. In a Phase 2 clinical trial, researchers tested opaganib in combination with existing treatments and found that a subset of patients experienced encouraging signs that the therapy may be slowing the disease, including drops in blood markers linked to prostate cancer and periods of disease stabilization. Researchers are now analyzing blood samples from patients in the trial to identify biomarkers that could help predict who is most likely to benefit from the treatment. The findings could help advance a more personalized approach to prostate cancer care while opening the door to future therapies targeting the same biological pathway.