Study finds most people trust doctors more than AI but see its potential for cancer diagnosis
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Updates every hour. Last Updated: 9-Dec-2025 06:11 ET (9-Dec-2025 11:11 GMT/UTC)
The research team led by Associate Professor Lin-Lin Bu from Wuhan University School and Hospital of Stomatology, has published a comprehensive review entitled “Triaptosis and Cancer: Next Hope?” in the journal Research. This article systematically elaborates the triaptosis pathway from molecular mechanism to therapeutic application, detailing its signaling cascade, discussing the central role of oxidative stress homeostasis in cancer, and offering a forward-looking perspective on future directions—collectively underscoring the compelling potential of triaptosis as a novel anticancer strategy.
According to a study published by Wiley online in CANCER, receiving anticancer immunotherapy earlier in the day may help individuals with cancer live longer.
A new study shows that AI is revolutionizing colon cancer diagnosis, making detection easier, faster, less invasive, and more accurate. The research, based on a meta-analysis of studies published between 2020 and 2024, highlights how AI has been applied to colon cancer screening and analysis. Findings reveal significant gains in diagnostic precision, particularly in polyp detection during colonoscopies and in histopathological assessments, where deep learning models frequently outperform traditional methods.