Novel tissue-agnostic biomarker approaches could improve response to immunotherapy
Several studies describe pan-cancer approaches utilising the latest technology for better patient selection and outcomes
New artificial intelligence-based biomarkers offer early insight into treatment response
Findings from four studies provide further evidence on the potential of AI-driven pathology, imaging and multiomic data to guide clinical decision-making
Is it time to shift supportive care toward digital-assisted approaches?
Recent findings show digital tools have the potential to improve the monitoring of symptoms and psychological aspects, but they should be integrated within routine clinical practice
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
How will computational and AI tools guide future anticancer strategies?
Growing evidence shows that AI models can predict a patient's disease trajectory and signal the need for early therapeutic intervention
Personalising cancer treatment with AI and digital pathology
Leveraging artificial intelligence and digital pathology, oncology is entering a transformative stage where advanced image analysis and AI-driven biomarkers enable personalised cancer treatment decisions.
Status and trends in digital pathology
Pathology is going digital. More than 50 AIs cleared for diagnostic use are now available. This article summarises the status quo and gives an outlook of upcoming emerging technologies.
How you can do your part in the AI transformation of oncology
An interview with ESMO President Prof. Fabrice André underscores the importance for any medical oncologist of developing artificial intelligence literacy
Study presents an AI-guided approach to target cancer antigens
The innovative approach was successfully tested on NY-ESO-1 and promises to bypass some current challenges in the identification of T cell receptors for therapeutic use
Cancer Control Principles
AI is impacting cancer care, but also the environment
Research shows that widespread use of artificial intelligence tools is associated with high demand for energy, water and minerals