The CMIH is excited to announce that we have recently funded three research projects submitted as part of our Partnership Fund. The projects are all related to the mathematics in healthcare field with the researchers joining us at the centre for the duration of the projects.
The first project aims at developing multi-task transfer learning algorithms to build end-to-end learning models, for automatic diagnosis of breast cancer based on 2D mammography, 3D digital breast tomosynthesis (DBT), as well as their combination. This is a collaborative project with the Department of Radiology, Cambridge.
Next, the second project will investigate whether integrating machine learning and image inpainting into multi-parametric MRI analysis could better delineate glioblastoma invasion. If successful, this method could have significant clinical impact on personalised treatment plans. This project is in collaboration with the Department of Clinical Neurosciences, Cambridge and Huashan Hospital, Fudan University, China.
The third project is researching whether automated tools can be developed to assess biomarkers of progression or stability of idiopathic pulmonary fibrosis. This project is in conjunction with Royal Papworth Hospital, Qureight Limited and the Liverpool Centre for Mathematics in Healthcare (LCMH).
For further information about collaborating with the CMIH or submitting an application for funding please visit the Partnership Fund page here.