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Read more at: Multi-modal learning for predicting the genotype of glioma

Multi-modal learning for predicting the genotype of glioma

22 May 2023

Glioma is the most common malignant brain tumour in adults. These tumours often vary between people resulting in very different outcomes.One of the most significant markers for the diagnosis and prognonsis of glioma is a mutation of the isocitrate dehydogenase (IDH) gene. Studies have shown that MRI can predict the...


Read more at: Summer Internships with the Cambridge Mathematics Placement Programme

Summer Internships with the Cambridge Mathematics Placement Programme

13 February 2023

One of the aims of the CMIH Hub is to encourage the mathematicians of the future. We're pleased to work with the Cambridge Mathematics Placements (CMP) programme, part of the Faculty of Mathematics within the University of Cambridge , to enable students to learn skills outside of the standard academic curriculum and to...



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...



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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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