LATEST NEWS
How to close the age gap in clinical cancer research?
From geriatric assessment to artificial intelligence, an ESMO/SIOG paper highlights effective strategies to improve the representation of older patients in clinical trials
RAS inhibition: a game changer in pancreatic cancer?
Preclinical findings show antitumour activity of triple KRAS inhibition in mouse models, but it will take years of rigorous research to assess its clinical efficacy in oncology patients
Structured exercise enters ESMO guidelines for colon cancer as recommended treatment
The update reflects survival benefits of post-diagnosis exercise in stage II–III colon cancer as recently reported in the CHALLENGE study
AI & DIGITAL ONCOLOGY
Trustworthy and explainable AI – a key to equitable oncology?
Mitigating research biases by rigorous data analysis and validation can pave the way for a wider adoption of artificial intelligence in cancer care
The first ESMO guidance for AI-based biomarkers
In a newly released framework paper, ESMO defines criteria for assessing and implementing AI-based biomarkers in oncology
Harnessing Large Language Models in oncology: ESMO’s framework for integration in the clinic
The ELCAP statements, developed by a group of international experts, help oncology stakeholders recognise the opportunities and the risks of these artificial intelligence systems by categorising them into three types
Berna Özdemir
Umberto Malapelle
Jakob N. Kather
Sine Reker Hadrup
Eileen Poon