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Read more at: Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading

Mutual Contrastive Low-rank Learning to Disentangle Whole Slide Image Representations for Glioma Grading

22 December 2022

Histology images of cancer tissue provide valuable information for the malignancy grading of cancers. AI shows promise to automatically determine cancer malignancy based on histology images, providing rapid support for cancer diagnostics. Currently, the most widely used histology images include the images of formalin-fixed...

Read more at: Using artificial intelligence to interrogate multi-national imaging datasets to determine the mechanism of COVID-19 pneumothorax

Using artificial intelligence to interrogate multi-national imaging datasets to determine the mechanism of COVID-19 pneumothorax

5 December 2022

A collapsed lung, known as a pneumothorax, is more common in COVID-19 patients in hospital than in patients admitted for other diseases. It was initially thought that this was a complication of high pressures used in ventilation of those with severe disease, but this cannot explain all cases and the reasons why COVID-19...

Read more at: Data for Healthcare, where does Maths of Information come in?

Data for Healthcare, where does Maths of Information come in?

1 December 2022

At the recent Cantab Capital Institute for the Mathematics of Information (CCIMI) Industry Day , held at the Isaac Newton Institute in Cambridge, CMIH Hub director Prof. Sir John Aston gave a talk about data in healthcare, the work of the CMIH Hub, and how to communicate mathematics in healthcare to the general public -...

Read more at: Can AI help with breast cancer screening?

Can AI help with breast cancer screening?

1 November 2022

If you're a woman between 50 and 70 in the UK you'll be familiar with the breast cancer screening programme. Women within that age range are invited for a mammogram every three years. If the result looks suspicious they are invited back for further tests. The aim is to spot breast cancers as early as possible as that gives...

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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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cmih@maths.cam.ac.uk

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