
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
Real world experience suggests that the integration of digital tools into cancer care may close current gaps in patient outcomes reporting
While the use of artificial intelligence systems is expanding in oncology, ethical issues including biases introduced in care delivery and uneven access to technology raise concerns about whether some patients may be left behind
The ESMO-Magnitude of Clinical Benefit Scale has been enhanced to address critical aspects of modern oncology trials, such as novel study designs, quality of life and long-term survival benefits
In a study, a machine learning approach outperformed cancer-specific models and revealed universal biomarkers to guide end-of-life care decisions
Additional treatment targets and potentially repurposable agents were identified based on chemoradiotherapy response, which could now be explored for further validation.
Artificial intelligence has entered drug discovery and development supporting target identification and validation, but challenges remain
ESMO now welcomes members from other disciplines to support and expedite the digital transformation of cancer care
A system integrating computer tomography scans and pathological markers offers promise to personalise adjuvant therapy
Experts’ discussions during ESMO Breast 2025 provided an overview on promises and challenges in the field
Evidence is growing for a potential role of microplastics in cancer development, but more solid research is needed
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