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Read more at: Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study

Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study

27 November 2023

Breast screening enables early detection of cancers; however, most women have normal mammograms, resulting in repetitive and resource-intensive reading tasks. The aim of CMIH Hub researcher Yuan Huang and his colleagues was to investigate if deep learning (DL) algorithms can be used to triage mammograms by identifying...


Read more at: Partnership Fund - #2 - Applying machine learning to brain tumours for paediatric and young adult patients

Partnership Fund - #2 - Applying machine learning to brain tumours for paediatric and young adult patients

21 November 2023

The CMIH Hub Partnership Fund has been used to support pump-priming/scoping projects with new collaborations and funding. In the second of a series of articles about these projects Dr. Michael Roberts and Dr Harpreet Hyare explain how an award from the Partnership Fund aided their research. Applying machine learning to...



Read more at: Partnership Fund - #1 - Extracting and curating a Cardiovascular eHospital Research Database (eCamCVD) from Cambridge University Hospitals

Partnership Fund - #1 - Extracting and curating a Cardiovascular eHospital Research Database (eCamCVD) from Cambridge University Hospitals

3 November 2023

The CMIH Hub Partnership Fund has been used to support pump-priming/scoping projects with new collaborations and funding. In the first of a series of articles about these projects Dr. Genevieve Cezard, Prof. Angela Wood and Prof. James Rudd explained how an award from the Partnership Fund aided their research. Extracting...


Read more at: Common methodological pitfalls in ICI pneumonitis risk prediction studies

Common methodological pitfalls in ICI pneumonitis risk prediction studies

10 October 2023

Pneumonitis is one of the most common adverse events induced by the use of immune checkpoint inhibitors (ICI), accounting for a 20% of all ICI-associated deaths. Despite numerous efforts to identify risk factors and develop predictive models, there is no clinically deployed risk prediction model for patient risk...



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About Us

The Cambridge Mathematics of Information in Healthcare Hub (CMIH) is a collaboration between mathematics, statistics, computer science and medicine, aiming to develop robust and clinically practical data analytics algorithms for healthcare decision making. Our work focusses on some of the most challenging public health problems; Cancer, Cardiovascular Disease, and Dementia.

 

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