A domain-specific natural language processing (NPL) pipeline showed strong performance in extracting clinically meaningful information from diverse clinical documents of patients with non-small cell lung cancer
Mitigating research biases by rigorous data analysis and validation can pave the way for a wider adoption of artificial intelligence in cancer care
Preclinical findings show antitumour activity of triple KRAS inhibition in mouse models, but it will take years of rigorous research to assess its clinical efficacy in oncology patients
The update reflects survival benefits of post-diagnosis exercise in stage II–III colon cancer as recently reported in the CHALLENGE study
Dose optimisation of immune checkpoint inhibitors may help address current healthcare resource constraints and improve treatment access
Several misconceptions around sex- and gender-sensitive medicine still limit its application in cancer research and care
In a real-world study, multimodal artificial intelligence models outperform PD-L1 across key endpoints
Manageable safety and encouraging antitumour responses were presented with MK-1084 monotherapy and combination regimens
Data shows that index lesion-focused ipsilateral systematic biopsy is not inferior to standard systematic biopsy
A study compared the performance of different models using routinely collected clinicopathological data from women with HR-positive/HER2-negative breast cancer
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