
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
Career growth is a step-by-step journey, built on resilience, clarity, and the ability to face challenges head-on - because success never happens overnight
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
Novel approaches are being tested to overcome current challenges in the use of cellular therapies such as high toxicity and a complex manufacturing process
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
Quality of life and pain management data adds to efficacy results of combining TTFields with gemcitabine and nab-paclitaxel as a potential new option of care
Antibody–drug conjugates may represent a step up from existing therapeutic options, but further optimisation and biomarker analyses are required.
Additional treatment targets and potentially repurposable agents were identified based on chemoradiotherapy response, which could now be explored for further validation.
Global cooperation is needed to improve trial design and expedite new treatments specifically in low- and middle-income countries
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