EDITORIAL
How AI is expediting clinical research: the use of synthetic real-world data
While synthetic real-world data may help overcome current challenges in clinical trials, it also introduces new complexities
ESMO RECOMMENDANTIONS AND FRAMEWORKS
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 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
AI is transforming cancer diagnosis, but systemic barriers still hold it back
A new ESMO systematic review maps AI’s growing role in pathology and oncology, as well as challenges in its implementation due to infrastructure, regulatory framework and human factors
AI IN CLINICAL PRACTICE
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
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
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
RESEARCH & DRUG DEVELOPMENT
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
A toolkit to address disparities in digitally enabled oncology trials
An initiative fosters inclusive research by improving patient access and participation in cancer research
Can AI help deliver better medicines to patients?
Artificial intelligence has entered drug discovery and development supporting target identification and validation, but challenges remain
Shekoofeh Azizi
Michel Ducreux
Catherine Wu
Christoph Oing