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
Newly-presented studies highlight that insights into cancer can also be unlocked from circulating tumour cells, exosomal microRNA and cell-free RNA
Applications in artificial intelligence have the potential to transform precision oncology, but data quality and clinical validation of tools are still challenging
Studies provide new insights into the driver landscape of these gastrointestinal tumours and show improved prediction of patient-specific outcomes.
In France, a nationwide programme aims to broaden access to the technology based on the positive results collected so far
Data from clinical trials show the value of liquid biopsy in treatment decision-making and prognostication
Cancer imaging and identification of predictive biomarkers are the best performed tasks reported in studies presented at ESMO Congress 2023
Results from a study suggest that some existing inhibitors may benefit all subtypes of these rare malignancies, which currently lack effective treatments
Next generation sequencing has revolutionised cancer management, but has also raised some issues that have yet to be addressed
Findings suggest that analysis of multiple prostate diagnostic biopsy cores, in contrast to frequent practice, may help reduce tumour mischaracterisation and identify genetic alterations relevant to personalised treatment
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