An EU-funded project has developed an intelligent full-body scanner that employs explainable AI to improve early detection of melanoma, potentially transforming dermatological diagnostics and patient outcomes.
A multi-institutional team has developed a comprehensive suite of machine learning models that can accurately classify cancer samples into molecular subtypes, bridging a critical gap between genomic research discoveries and clinical implementation.
Early-onset colorectal cancer incidence rates are increasing in more than half of the countries studied worldwide, with the steepest rises seen in New Zealand, Chile, and Puerto Rico, according to comprehensive new research published in The Lancet Oncology [1].
A study from Children’s Hospital of Philadelphia has uncovered rare but severe neurological side effects in children, adolescents, and young adults receiving CAR-T cell therapy for leukaemia, highlighting the need for further investigation into the complex mechanisms underlying these complications.
The EU-funded ‘MiCCrobioTAckle’ project brings together 24 partners from 12 countries to investigate the complex interplay between intestinal microbiota and cancer-associated muscle wasting.
A novel miniature wireless LED device developed by researchers at the University of Notre Dame demonstrates potential for treating deep-seated cancers through a combination of photodynamic therapy (PDT) and immune system activation. The implantable device, when used in conjunction with the photosensitising dye Rose Bengal, not only destroys cancer cells but also stimulates an immune […]
HKUMed team’s technology set to revolutionise liver cancer care A groundbreaking innovation in liver cancer treatment has earned international recognition for a team of researchers from the University of Hong Kong’s LKS Faculty of Medicine (HKUMed). Their ‘Bionic Liver-in-Cube: A Comprehensive Precise Theranostics for Liver Cancer and Diseases’ (‘Liver-in-Cube’) technology was awarded a Gold Medal […]
Researchers at the University of British Columbia have made a significant breakthrough in endometrial cancer diagnosis, utilising artificial intelligence (AI) to identify a previously unrecognised high-risk subtype. This discovery promises to enhance patient care for those with the most common gynaecological malignancy.
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