Opinions

Development of therapies modulating two or more targets is increasing rapidly despite facing a number of hurdles

Semi-autonomous and autonomous foundation models are helping cancer research and anticancer drug development

Recent studies have improved current understanding of clinical variability and molecular diversity of this subgroup, but many questions remain

Several misconceptions around sex- and gender-sensitive medicine still limit its application in cancer research and care

Integrating DNA and RNA profiling is a promising approach to advance cancer characterisation and guide clinical decision-making

ESMO plays a central role in developing long-lasting recommendations for a safe and effective use of artificial intelligence supporting oncology stakeholders 

AI-driven approaches can help to design minibinders, which may bring new T-cell receptor-based therapies closer to the clinic

For adolescents and young adults with cancer, individualised care that addresses their unique medical and psychosocial needs is essential to improving outcomes and quality of life

Computational models can overcome current limitations of 3D analysis of tumour samples

Extensive research is focusing on the development of tools that may enhance drug development and personalised oncology in the near future