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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...


Read more at: New artificial intelligence tool for diagnosing Alzheimer's

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...


Read more at: CMIH Annual Engagement Event 2022

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...


Read more at: Impact of COVID-19 on cardiovascular waiting lists

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...


Read more at: Supporting healthcare with AI

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 .


Read more at: BloodCounts! Consortium wins Trinity Challenge Prize for breakthrough in infectious disease detection

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...


Read more at: Developing AI tools to fight against COVID19

Developing AI tools to fight against COVID19

30 April 2021

COVID-19 is highly contagious, and severe cases can lead to acute failure of the lungs, multiple organs and ultimately death. Chest X-Rays and CT scans provide valuable diagnostic and monitoring information that can complement the laboratory and clinical data. The CMIH is part of a Cambridge led collaboration to bring...


Read more at: The origins of the CMIH Hub

The origins of the CMIH Hub

30 April 2021

The EPSRC Cambridge Mathematics of Information in Healthcare Hub (CMIH) is an interdisciplinary collaboration between mathematics, statistics, computer science, and medicine, and aims to develop rigorous and clinically practical algorithms for analysing healthcare data in an integrated fashion. The overarching objective of...


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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