Novel tissue-agnostic biomarker approaches could improve response to immunotherapy
Several studies describe pan-cancer approaches utilising the latest technology for better patient selection and outcomes
How will computational and AI tools guide future anticancer strategies?
Growing evidence shows that AI models can predict a patient's disease trajectory and signal the need for early therapeutic intervention
The value of real-world data to inform cancer research and care
Well-designed real-world observational studies are hypothesis-generating and impact therapeutic decisions
Digital health technologies help revolutionise patient-centred cancer care
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
The patient view on digitalisation in oncology
Digital tools offer potential solutions to personalise the patient journey, but more effort is needed to integrate them into current healthcare settings
Performance data from AI tools show progress in oncology
Cancer imaging and identification of predictive biomarkers are the best performed tasks reported in studies presented at ESMO Congress 2023
Does AI hold the future of early cancer detection?
Technology promises to improve understanding of cancer risk and lesion biology, but clear regulation is urged to implement innovation in cancer screening programmes
Innovation is creating new ways to support oncologists
How ESMO is transforming the challenges from the COVID-19 pandemic into opportunities to re-shape the future of the oncology community
Artificial intelligence: a game-changer for the future of cancer care
Faced with an explosion in the complexity of genomic, imaging and clinical data, AI is rapidly becoming an indispensable tool for oncologists.
