Education sets the basis for an AI-driven future of oncology
The deployment of artificial intelligence could lead to substantial advances in cancer care, but collaborative efforts are needed to increase trust among end users
Cancer Control Principles
Redispensing cancer medicines means caring for the environment
Some initiatives show that collection and distribution of unused medicines can help tackle drug waste, with a potential impact on emissions associated to oncology therapies
Cancer Control Principles
Off-label use of cancer medicines: an option not without challenges
Together with an off-trial use and off-track access to oncology therapies, a consolidated trend is reported in clinical practice despite the uncertainties on efficacy and safety
Does artificial intelligence have a place in precision oncology?
Applications in artificial intelligence have the potential to transform precision oncology, but data quality and clinical validation of tools are still challenging
Choose the right treatment, at the right dose – a way to create a financially-sustainable cancer care?
Using treatments only where clear benefit has been demonstrated and modulating doses based on evidence are potentially effective strategies to reduce the rising costs of oncology
Cancer Control Principles
How to mark a tangible impact in cancer control
Recent research shows that tailored strategies and political commitment can revert current epidemiology trends of cancer
The growing role of AI in breast cancer
The rapidly increasing integration of AI into many aspects of breast cancer management calls for urgent definition of expected levels of evidence and bespoke regulatory and reimbursement processes
Cancer Control Principles
How much ‘green’ is cancer research?
Clinical trials have an impact on the environment, and novel approaches may help researchers reshape their activities toward a greater sustainability
Cancer Control Principles
Health as a human right, cancer care as a human priority
Universal health coverage in oncology is still not a reality, as a recent report shows
How can proteomics aid the study of lung cancer in never smokers?
Personalised proteogenomics has the power to transform the identification, staging and management of NSCLC in never smokers