From revolutionary medical technology to advanced communication systems, these three projects could have a huge impact in the future.
Exciting news! The Engineering and Physical Sciences Research Council (EPSRC) has committed £17 million to develop the technologies of tomorrow – and £3.9 million of it has landed in Yorkshire. This is a major investment, not just in the technologies of the future, but also in the Yorkshire economy, and it’ll bring together international collaborators to create pioneering solutions to some of the world’s greatest problems.
Advanced communication devices and systems
The University of Sheffield has bagged £1.5 million to develop monolithic on-chip integration of microscale laser diodes and electronics for micro-displays and visible light communications. You whaty-what? Basically, they’re developing a chip that could offer three times the bandwidth of conventional Wi-Fi and 5G. Professor Tao Wang is leading the project, but he’ll be working in partnership with the University of Strathclyde, the University of Bath, Harvard University and Massachusetts Institute of Technology.
Personalising knee and hip replacements for better outcomes
Osteoarthritis costs the NHS more than £10 billion a year. Knee and hip replacements are considered to be successful, and yet, over 15,000 revision surgeries are performed every year. Which is why Professor Ruth Wilcox of the University of Leeds has teamed up with The Center for Orthopaedic Biomechanics at University of Denver to personalise treatment, improve surgical outcomes and build the evidence needed to develop advanced musculoskeletal therapies. And now she has £1.2 million to help her do it.
Chemical tools to develop better medicines faster
It takes 12 years for drugs to go from laboratory to patient, but what if we could cut that time and get life-saving treatments to market faster? That’s the challenge ahead for Professor Adam Nelson of the University of Leeds. He’s secured £1.2 million to develop a new approach to discovering bioactive small molecules, one that performs hundreds of reactions in parallel. MPIMP will determine the phenotypic effect of each module and RFI will create an algorithm that uses successful reactions to design hundreds more.Cover image credit: The University of Leeds.