News

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...

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...

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...

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 -...

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...

New artificial intelligence tool for diagnosing Alzheimer's

9 September 2022

Diagnosing Alzheimers patients early gives the best chance of slowing the progression down and improving the patient's quality of life. Unfortunately, though, there is no simple test for diagnosing Alzheimer's. To find out whether a patient has the disease, doctors perform a range of different tests and try to rule out...

CMIH Annual Engagement Event 2022

5 August 2022

The CMIH Annual Engagement Event took place at the Centre for Mathematical Sciences in Cambridge on Tuesday 26th July 2022. This academic event brought together those working in mathematical healthcare data analytics across the UK, including academic, clinical, and industrial users with mathematicians working in similar...

Impact of COVID-19 on cardiovascular waiting lists

15 July 2022

The COVID-19 pandemic has delayed lifesaving treatments for thousands of people, including those with severe aortic stenosis (AS). Without urgent action people with AS could die while waiting for treatement. Using mathematical modelling on the waiting lists of people requiring treatment for severe AS an international team...

Supporting healthcare with AI

7 June 2022

CMIH researchers are working on a number of applications for the use of AI in supporting clinicians and healthcare organisations. In the article linked below, PLUS looks at some of this cutting edge work and the exciting challenges it presents. Find out more here .

BloodCounts! Consortium wins Trinity Challenge Prize for breakthrough in infectious disease detection

25 June 2021

BloodCounts! - an international consortium of scientists, led by Professor Carola-Bibiane Schönlieb of the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, has been awarded a substantial prize by the Trinity Challenge to further develop their innovative infectious disease outbreak...

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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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