Can artificial intelligence finally unlock the full potential of cancer genomics? Discover how new digital tools are closing the gap between data and clinical action in oncology.
Computational models can overcome current limitations of 3D analysis of tumour samples
Integrating artificial intelligence into pathology routine workflows could optimise patient selection for immunotherapy
While the IMbrave152/SKYSCRAPER-14 trial showed no added benefit with tiragolumab, other studies are ongoing to explore the potential of additional immune checkpoint inhibition in combination with standard therapy
In a newly released framework paper, ESMO defines criteria for assessing and implementing AI-based biomarkers in oncology
For Prof. Brigette Ma, dealing with diversity and finding opportunities in criticisms are essential to grow as oncology professionals
Extensive research is focusing on the development of tools that may enhance drug development and personalised oncology in the near future
As a proof of concept, an AI-powered large language model matching platform shows promise in patient selection
While synthetic real-world data may help overcome current challenges in clinical trials, it also introduces new complexities
The combination of lenvatinib plus everolimus improved progression-free survival in the LenCabo trial, but toxicity must be carefully assessed
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