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Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors

Artificial intelligence-based prediction of claudin 18.2 expression and immune phenotype from routine histology to guide treatment decisions in patients with gastric cancer

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Journal for ImmunoTherapy of Cancer

Artificial intelligence-guided analysis of the tumor microenvironment predicts response to pembrolizumab in rare tumors

Artificial intelligence-based prediction of claudin 18.2 expression and immune phenotype from routine histology to guide treatment decisions in patients with gastric cancer

Springer Nature

A comparison of tumour characteristics of screen-detected and interval cancers and their relationship with breast density and AJCC prognostic stage in a UK screening cohort

A foundation model of cancer genotype enables precise predictions of therapeutic response

Springer Nature

Artificial intelligence-powered H&E-based quantification of spatial tumor-infiltrating lymphocyte distribution identifies prognostic immune niches in colorectal cancer

European Radiology 2026

Long-term prognostic implications of AI-detected versus AI-undetected breast cancers on mammography: a propensity score-matched analysis

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