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Search results (9)

« Back to Publications

Supporting cancer research on real-world data: extracting colorectal cancer status and explicitly written TNM stages from free-text imaging and histopathology reports.

Tamm A. et al, (2025), BMJ health & care informatics, 32

External validation of the COLOFIT colorectal cancer risk prediction model in the Oxford-FIT dataset: the importance of population characteristics and clinically relevant evaluation metrics.

Tamm A. et al, (2025), BMC medicine, 23

COLOFIT: Development and internal-external validation of models using age, sex, faecal immunochemical and blood tests to optimise diagnosis of colorectal cancer in symptomatic patients

Crooks CJ. et al, (2024)

BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data.

Virdee PS. et al, (2023), Diagnostic and prognostic research, 7

Establishing a colorectal cancer research database from routinely collected health data: the process and potential from a pilot study.

Tamm A. et al, (2022), BMJ health & care informatics, 29

Combining faecal immunochemical testing with blood test results for colorectal cancer risk stratification: a consecutive cohort of 16,604 patients presenting to primary care.

Withrow DR. et al, (2022), BMC medicine, 20

Stimulus-independent neural coding of event semantics: Evidence from cross-sentence fMRI decoding.

Asyraff A. et al, (2021), NeuroImage, 236

Similar neural networks respond to coherence during comprehension and production of discourse

Morales M. et al, (2021)

Barking up the right tree: Univariate and multivariate fMRI analyses of homonym comprehension.

Hoffman P. and Tamm A., (2020), NeuroImage, 219