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
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
Findings from complex statistical modelling can form the basis for easy-to-use precision diagnostic and risk-stratification tools to help inform management decisions
Whole-genome sequencing and single-cell sequencing can provide valuable insights not only in the identification of new therapy targets, but also to assess minimal residual disease and overcome treatment resistance
Newly-presented studies highlight that insights into cancer can also be unlocked from circulating tumour cells, exosomal microRNA and cell-free RNA
Among the presented findings, a potential role for ESR1 gene fusions was observed
Advances in spatial transcriptomics could provide novel opportunities for early detection, metastasis prediction and identification of actionable targets
Updated data from two studies report significant improvements in recurrence-free survival and distant-metastasis free survival with pembrolizumab or nivolumab
Novel treatment approaches show encouraging early results in solid tumours, but ways to boost precision immunotherapy are needed
Efficacy and safety of telisotuzumab adizutecan was investigated in patients with EGFR wild type non-squamous disease
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