Mentoring is key to address the gender gap in oncology
Receiving the 2025 ESMO Women for Oncology Award, Dr Natasha Leighl stresses the importance of passing along learnings, support and opportunities to others
ESMO confers a new award on pioneer female oncologist in Ecuador
Glenda Ramos Martínez receives the ESMO Oncologist of the Year Award, launched this year by the Society
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
Findings support de-escalated radiotherapy after surgery in HPV-associated oropharyngeal squamous cell carcinoma
In a phase III trial, lower doses of adjuvant radiotherapy plus docetaxel were associated with reduced toxicity and need for percutaneous endoscopic gastrostomy, with an impact on quality of life
Immune interception represents an exciting opportunity to stop cancer in its tracks
Data from two studies suggest a good rationale for targeting T-cell dysfunction with precision immunotherapy to intercept pre-cancerous lesions
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