
New artificial intelligence-based biomarkers offer early insight into treatment response
Findings from four studies provide further evidence on the potential of AI-driven pathology, imaging and multiomic data to guide clinical decision-making
Findings from four studies provide further evidence on the potential of AI-driven pathology, imaging and multiomic data to guide clinical decision-making
Precision targeting, immune modulation and rational trial design are converging to improve patient outcomes
Positive findings are presented for advanced Merkel-cell carcinoma plus phaeochromocytoma and paragangliomas, while negative findings are equally important to guide future research
Blocking GDF-15, an mRNA-based therapy and targeting VISTA have a strong mechanistic rationale, resulting in clinical benefit in heavily pre-treated patients
Preliminary results of NW-301V are promising, with a lack of severe adverse effects at all doses tested in patients with pancreatic cancer or colorectal cancer
TROP2-targeted ADCs, sacituzumab govitecan and datopotamab deruxtecan, meet their primary endpoints in phase III trials
While telisotuzumab adizutecan demonstrated early antitumour activity, only modest benefits were seen with VCN-01 added to standard care
While early-phase findings confirm the efficacy and mild toxicity of radiopharmaceuticals, patient selection and logistical issues limit their integration into broad clinical practice
Recent research shows that molecular monitoring is key to identify a patient-tailored window of opportunity for rechallenge
Primary phase III overall survival analysis suggests that the combination therapy may be a potential new option for previously treated patients with or without liver metastases
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