Dr Caroline Roney
MMath, MRes, PhD
Research Funding
On this page:
Current Funded Research Projects
Mapping populations to patients: designing optimal ablation therapy for atrial fibrillation through simulation and deep learning of digital twinFunding source: UKRI Medical Research CouncilStart: 01-11-2022 / End: 31-10-2026 Amount: £1,224,259 We will combine biophysical simulation and deep learning methods with a longitudinal digital twin approach to optimise risk prediction and choice of therapy for atrial fibrillation. We aim to move predictions from the acute response to the long-term response; from the average patient to an individual patient; from standard treatments to any treatment approach; from small patient cohorts to large virtual trials; and from long simulation times to short clinical timescales. |
Development and Validation of Smartphone-Based Tools for Characterisation of GaitThis project aims to develop and validate smartphone-based tools for characterising gait. By utilizing the sensors and capabilities of modern smartphones, the project seeks to provide accessible, accurate, and cost-effective solutions for gait analysis, benefiting both healthcare providers and researchers in diagnosing and monitoring gait-related conditions. |
Current PhD Studentship Projects
Virtual Atria with Personalised Electrophysiology for Atrial Fibrillation Therapy Planning - SEMS Industry-supported PhD StudentshipFunding source: Acutus Medical UK LtdStart: 01-10-2022 / End: 30-09-2025 |
Previous Funded Research Projects
Predicting Atrial Fibrillation Mechanisms Through Deep LearningFunding source: MRC Medical Research Council / Medical Research CouncilStart: 01-10-2021 / End: 31-10-2022 Medical Research Council Skills Development Fellowship. The objective is to develop a combined biophysical simulation and deep learning network pipeline that accurately quantifies the likelihood of success of pulmonary vein isolation for an individual patient to guide ablation therapy. |