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
The deployment of artificial intelligence could lead to substantial advances in cancer care, but collaborative efforts are needed to increase trust among end users
Applications in artificial intelligence have the potential to transform precision oncology, but data quality and clinical validation of tools are still challenging
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
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
Collaboration is needed to advocate for resilient healthcare systems that can navigate crises and deliver high-quality care to patients with cancer, even in the most trying circumstances
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