Win for Paul Chazot and the IAA project team

The IAA project, Combined Deep learning-based image and blink-rate analysis, and tear protein biomarker detection for effective Parkinsons disease and Progressive supranuclear palsy diagnostic screening has won the “Best interdisciplinary / cross-team working demonstrated” at the Celebration of Impact event.

Project team: Dr. Mujeeb Chaudhry (PI, Engineering); Prof. Paul Chazot (co-I, Biosciences); Dr. Rahele Kafieh (co-I, Engineering); Prof. Dan Smith (co-I, Psychology), Dr. Gurashish Singh (PDRA)

Partner: Nevrargenics Ltd

Prof Chazot’s research into the identification, characterisation and validation of novel drug targets for the treatment of central nervous system diseases is combined with Dr Chaudhry’s expertise in organic semiconductors and electronics in this project to establish robust early diagnostic principles for Parkinsons Disease and Progressive Supranuclear Palsy.  The project is exploring deep learning based image analysis of eye-blink-rate alongside the development of organic electrochemical transistors for ocular tear protein detection. The unique combination of methods in the project will enable evaluation, comparison and interaction to ultimately produce a reliable and non-invasive early stage diagnostic for neurodegenerative disease.

Many congratulations Paul and team!