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
Applications in artificial intelligence have the potential to transform precision oncology, but data quality and clinical validation of tools are still challenging
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
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
A study proposes a model that is able to learn broad aspects of cancer–immune interactions from early phase trial data
The 2024 TAT Honorary Awardee Prof. Funda Meric-Bernstam discusses progress made and how to overcome current obstacles in the field
In the period 2024-2026, the technical collaboration between the United Nations agency and the Society plans a series of evidence-based activities to improve global cancer care
Well-designed real-world observational studies are hypothesis-generating and impact therapeutic decisions
Several ESMO initiatives highlight the need for closing the gap between fast cancer research and a lack of accessibility to treatments in the real world
Recent studies show how digital health apps enhance the patient experience, and improve multiple quality of life domains and in some cases, adherence to treatment, but their integration into the healthcare system is still a challenge
Digital tools offer potential solutions to personalise the patient journey, but more effort is needed to integrate them into current healthcare settings
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