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  • Read more at: CMIH Seminar Series - Prof. Lexin Li (University of California) - Statistical Neuroimaging Analysis: An Overview

    CMIH Seminar Series - Prof. Lexin Li (University of California) - Statistical Neuroimaging Analysis: An Overview

    Thursday, 3 August, 2023 - 11:00 to 12:00

    Abstract : Understanding the inner workings of human brains, as well as their connections with neurological disorders, is one of the most intriguing scientific questions. Studies in neuroscience are greatly facilitated by a variety of neuroimaging technologies, including anatomical magnetic resonance imaging (MRI)...


  • Read more at: CMIH Seminar Series - Dr Jing Ke (Shanghai Jiao Tong University) - The annotation and practical problems in pathology image analysis with deep learning approaches

    CMIH Seminar Series - Dr Jing Ke (Shanghai Jiao Tong University) - The annotation and practical problems in pathology image analysis with deep learning approaches

    Wednesday, 26 July, 2023 - 13:00 to 14:00

    Abstract: The large volume, enormous medical information, and stain variation are depicted as pathology image attributes; correspondingly, the products in the deep learning approaches, e.g., the heavy annotation workload, the diverse labeling strategy, the stain normalization unreliability, and the various artifacts, have...


  • Read more at: CMIH Seminar Series - Michael Baker (University of Otago, NZ) - Learning from New Zealand’s Covid-19 response, with a particular focus on effective communication

    CMIH Seminar Series - Michael Baker (University of Otago, NZ) - Learning from New Zealand’s Covid-19 response, with a particular focus on effective communication

    Friday, 21 July, 2023 - 11:00 to 12:00

    Speaker : Professor Michael Baker, Professor of Public Health, University of Otago, Wellington, New Zealand Title : Learning from New Zealand’s Covid-19 response, with a particular focus on effective communication Abstract : Effective pandemic communication depends on having a sound, evidence-informed response strategy...


  • Read more at: CMIH Hub - Academic Engagement Event

    CMIH Hub - Academic Engagement Event

    Wednesday, 21 June, 2023 - 10:00 to 16:30

    The CMIH Hub Academic Engagement Event will be taking place on Wednesday 21st June at the Centre for Mathematical Sciences in Cambridge. This event will showcase the research and engagement of the CMIH Hub over the past 3 years. Talks will focus on the key theme of the CMIH Hub, which is the development of robust and...


  • Read more at: CMIH Hub Seminar Series - Polina Golland, MIT

    CMIH Hub Seminar Series - Polina Golland, MIT

    Monday, 12 June, 2023 - 11:00 to 12:00

    Polina Golland is the Sunlin (1966) Priscilla Chou professor of Electrical Engineering and Computer Science and a principal investigator in the Computer Science and Artifical Intelligence Labotory (CSAIL) at MIT . Polina's primary research interest is in developing novel techniques for biomedical image analysis and...


  • Read more at: CMIH Hub Seminar Series - Segment Anything in Medical Images

    CMIH Hub Seminar Series - Segment Anything in Medical Images

    Wednesday, 7 June, 2023 - 13:00 to 14:00

    Dr Bo Wang, University of Toronto and Vector Institute of Artificial Intelligence Wednesday 07 June 2023, 13:00-14:00 Medical imaging plays an indispensable role in clinical practice. Accurate and efficient medical image segmentation provides a means of delineating regions of interest and quantifying various clinical...


  • Read more at: CMIH Hub Seminar Series: Dr. Gemma Bale - Optical monitoring of cerebral metabolism: from newborn brain injury to dementia

    CMIH Hub Seminar Series: Dr. Gemma Bale - Optical monitoring of cerebral metabolism: from newborn brain injury to dementia

    Wednesday, 1 March, 2023 - 13:00 to 14:00

    CMIH Hub Seminar Series Dr Gemma Bale , Department of Engineering, University of Cambridge This seminar will be held in a hybrid format in MR12, Centre for Mathematical Sciences, CB3 0WA. Alternatively you can join by Zoom . Gemma develops wearable, non-invasive optical brain monitoring tools based on near-infrared...


  • Read more at: Medical Image Understanding and Analysis 2022

    Medical Image Understanding and Analysis 2022

    Wednesday, 27 July, 2022 - 09:00 to Friday, 29 July, 2022 - 17:00

    MIUA 2022 (Medical Image Understanding and Analysis) is a UK-based international conference for the communication of image processing and analysis research and its application to medical imaging and biomedicine. This is a rapidly growing subject with ever increasing real-world applicability. MIUA 2022 welcomes all...


  • Read more at: Cambridge Mathematics of Information in Healthcare Hub (CMIH) - Academic Engagement Event 2022

    Cambridge Mathematics of Information in Healthcare Hub (CMIH) - Academic Engagement Event 2022

    Tuesday, 26 July, 2022 - 09:30 to 17:00

    Background: The EPSRC Cambridge Mathematics of Information in Healthcare ( CMIH ) Hub was launched in 2020. It focuses on some of the most challenging public health problems of our time, including Cancer, Cardiovascular Disease and Dementia. There is a core mathematical component that is common to data challenges across...


  • Read more at: Cambridge Mathematics of Information in Healthcare (CMIH) Industry Round Table Afternoon

    Cambridge Mathematics of Information in Healthcare (CMIH) Industry Round Table Afternoon

    Wednesday, 4 May, 2022 - 13:00 to 17:00

    The EPSRC Cambridge Mathematics of Information in Healthcare ( CMIH ) Hub was launched in 2020. It focuses on some of the most challenging public health problems of our time, including Cancer, Cardiovascular Disease and Dementia. There is a core mathematical component that is common to data challenges across these clinical...


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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