The LCMH acts as a focal point for activity at the Mathematics–Healthcare Technologies interface. This supports both communities as well as end users of research (e.g. clinicians and industrialists).
More than 10% of the Centre budget is allocated for networking activities which will provide a supportive environment for developing novel mathematics which can be translated to biological and medical applications. We are keen to develop new collaborations, and welcome enquiries concerning potential new projects.
Liverpool Centre for Mathematics in Healthcare: Pump Priming funding
We can provide normal grants (up to £5k or in exceptional cases up to £15K) to fund feasibility studies to support opportunities to engage end-users and/or expand to new healthcare challenges /projects new to LCMH.
Applications will next be reviewed in February 2020.
Proposals should be a case study for support which addresses the following points:
- Rationale for the event or visit. Briefly explain the background and novelty of the proposed activity.
- Alignment with LCMH objectives. State clearly both the mathematical and healthcare challenges and why this activity should be funded by LCMH.
- New collaborations. Explain how the activity will promote new collaborations, or extend existing collaborations
- Funding available or requested from other sources.
- Details. Specify dates of events (even if these are tentative) and identify speakers or visitors where possible.
- Costings. Justify the expected costs (up to £5k)
N.B. You may be asked to revise your application in order for funding to be approved.
Pump Priming funding recipients
- Music and mathematics interrogate brain tumour dissemination - Rachel Bearon, Violaine See, Emily Howard, Lasse Rempe- Gillen
- Optimisation of Nanoband electrochemical Affimer assay - Enitan Carrol
- Advanced signal processing for personalised portable EEG - Roberto Ferrero
- Defining skin xenobiotic metabolism using a novel data-led mathematical approach - Steven D Webb, Craig Murdoch, Helen E Colley, Parveen Sharma
- Modelling insulin effects on cell cycle and bio-energetics - Mirela Domijan, Francesco Falciani
- Developments of novel imaging methods for cell collisions - Fengwei Yang (University of Sussex)
- Transforming spatio-temporal statistical learning methods: for complex clinical datasets that contain imaging data - Gabriela Czanner (Institute of Translational Medicine)
- Development of the Bayesian variable selection approach: visit to Birmingham University to discuss recent work and possible collaboration - Marta García-Fiñana
- New Development of AI Techniques for Heart Imaging - Yalin Zheng, Anis Theljani, Ke Chen
- Developing mathematical models for 3D imaging of cancer spheroids - Rachel Bearon and Simon Doran (Institute of Cancer Research)
- Modelling the microenvironment in human liver spheres from pluripotent stem cells - Steven Webb, David Hay, Joseph Leedale
- The role of non-canonical NRF2 signalling in circadian clock regulation - Mirela Domijan, Vanja Pekovic-Vaughan, Joseph Leedale
- Labelling image datasets for AI segmentation of the abdominal aorta and stent - Liam Burrows, Ke Chen, Francesco Torella, Martin Hossack