Two CDT Supervisors winners of the EPSRC Healthcare Technologies Challenge Awards
The Engineering and Physical Sciences Research Council have announced the nine researchers who were recipients of the EPSRC Healthcare Challenge Award, two of which are from the UCL Faculty of Engineering.
The award winners will share in a £9 million fund allocated to support a cohort of next generation research leaders to establish a personal programme of high quality, creative, and multidisciplinary research across the EPSRC portfolio, and to build and grow their research groups.
The two award winners from UCL and their research projects are as follows:
Adrien Desjardins – All-Optical Pulse-Echo Ultrasound Imaging for Real-Time Guidance of Minimally Invasive Procedure
Ultrasound imaging can provide exquisite detail about patient anatomy to guide clinical procedures. Conventionally, ultrasound is transmitted and received electrically. This project is centred on a new paradigm in which ultrasound imaging is performed optically, using inexpensive optical fibres used in telecommunications. The ultrasound probes, developed in close collaboration with clinicians, will be the first to provide real-time optical ultrasound imaging. Integrated into devices such as needles and catheters, they will provide imaging from within the human body that was previously unavailable. There is strong potential to improve patient outcomes in a wide range of clinical contexts.
Silvia Schievano – A hub for device personalisation in the treatment of congenital diseases – A patient specific computational framework to customise paediatric interventions
Devices purposefully designed for treating children with congenital defects are rare due to the small size of the paediatric market compared to the adult population, but also to the huge variations that are encountered in birth defects compared to acquired diseases.
In this project, I will develop new devices and tools that can be customised in-house for the treatment of children with congenital diseases on demand. Computational modelling based on routinely acquired clinical data will be used to study each patient dysfunctional site, and drive the device personalisation and optimisation process by simulating device implantation and interaction with the biological site.
To read more about the award and see the full list of award winners please visit the EPSRC Website.
Please visit our Supervisors Page to see the full range of researchers involved with our CDT.