Dr. Zhiming Zhao from the Systems and Networking Lab (SNE) will join the CLoud ARtificial Intelligence For pathologY (CLARIFY) and will lead the work package of Cloud oriented algorithms for data management. He will receive 531K€ to fund two PdD students.
Pathology has repeatedly been highlighted as being ripe for innovation in terms of workflow efficiency and more accurate diagnostics. However, diagnostic pathology in practice today is still a slow and cumbersome process that relies heavily on the subjective interpretation of a microscopic image by a qualified pathologist. CLARIFY aims to develop a robust automated digital diagnostic environment based on cutting-edge technologies (such as digital image processing, artificial intelligence, cloud computing, block chain, etc.) to enhance knowledge sharing and reach better‐informed decisions. CLARIFY targets to deliver an innovative, multinational, multi-sectorial, and multidisciplinary research and training programme that link two highly differentiated specialities: engineering and medicine, with a focus on digital pathology.
Zhiming will extend the Cloud programming and automation technologies his team has developed during the previous EU SWITCH, ENVRIPLUS and VRE4EIC projects, to tackle new challenges in developing Cloud based digital pathology. CLARIFY is a four-year project with total budget of 3.2M€
The CLARIFY project has nine partners and is coordinated by Polytechnic University of Valencia (Spain). It has four other academic partners (University Stavanger, University of Amsterdam, University of Granada, and Erasmus University medical centre Rotterdam), two industry partners and two hospitals. The consortium will be involved in a high-level personalised training programme that will guarantee ESRs and future PhD students outstanding Career Opportunities.
CLARIFY is an innovative training networks (ITN) project in Marie Skłodowska-Curie Actions recently funded in the call of EU H2020-MSCA-ITN-2019.