Is thymic health a novel tumour-agnostic biomarker?
Study findings reveal that good thymic health, based on an AI-derived algorithm, is associated with improved survival after immunotherapy in different tumour types
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
Integrating multiomic spatial profiling and ctDNA for a deeper understanding of cancer complexity
Diverse approaches are investigated in oncology that also include the use of artificial intelligence
ESMO awards its first fellowship to support digital and computational pathology
The recipient, Balazs Acs from Karolinska Institutet, will conduct a two-year project to transform the manual aspects of breast cancer pathology into quantitative ones
A toolkit to address disparities in digitally enabled oncology trials
An initiative fosters inclusive research by improving patient access and participation in cancer research
AI and remote monitoring are shaping a new patient journey in oncology
Real world experience suggests that the integration of digital tools into cancer care may close current gaps in patient outcomes reporting