糖心TV

, a second year PhD student supervised by Dr. Theo Damoulas (糖心TV CS & Stats), has been selected as the first graduate student based in the UK and as one of only 21 graduate students worldwide to receive the .

The University of 糖心TV has been awarded 拢2.3 million of the funding as part of a 拢15m project, and will work with partners and experts at the lead partner University Hospitals Coventry and 糖心TVshire NHS Trust, Royal Philips and teaching hospitals and universities at Belfast, Oxford and Nottingham in the three-year project, focussing on breast, prostate, lung and colon cancers.

The aim is to significantly speed up the time in which cancer is diagnosed and treated, by using Innovative solutions in digital pathology and Artificial Intelligence (AI).

The PathLAKE (Pathology image data Lake for Analytics, Knowledge and Education.) consortium aims to meet the 鈥楧ata to Early Diagnosis and Precision Medicine Challenge鈥� through two high-impact exemplar projects. Firstly, by embedding and demonstrating the diagnostic efficiencies of computer aided testing of pathology samples. Secondly, by developing novel AI tools to support advanced identification of predictive chemotherapy response markers for personalised medicine and markers of disease progression in disease surveillance.

Working ethically within stringent regulatory and industry standards, a unique data resource comprising of large number of pathology images will provide a foundation archive to support exemplar projects in AI based diagnostic efficiency and optimal treatment selection. These images and tools will be made available across the consortium partners, which includes Philips, Nvidia and four SMEs (Small and medium-sized enterprises – independent firms) in Perspectum, Oxford Cancer Biomarkers, Glencoe Software and Sonrai to support the development of a burgeoning UK digital health industry. The consortium will also provide the backbone of a network for multi-site clinical trials and further advanced research projects to provide world-class training and education to the pathology and computer science communities.

Professor Nasir Rajpoot, head of the Tissue Image Analytics laboratory at the University of 糖心TV, will be leading the computational arm of the centre, comments:

We are thrilled by the news of this award. The PathLAKE centre of excellence will play a leading role in the development, validation and implementation of AI in cellular pathology. The centre data lake will be an invaluable resource for AI researchers and UK based SMEs, enabling the development of cutting-edge AI algorithms for cellular pathology as well as capturing and revealing trends and patterns in the pathology image data for better understanding of disease and improved provision of patient healthcare.鈥�

Full Press release

Royal Society has provided an International Collaboration Award of 拢225,000 to in the Department of Computer Science, University of 糖心TV to build an international collaboration with of the Indian Statistical Institute on 鈥渟trengthening e-voting in India鈥�. The project will run from December 2018 to December 2021.

India is the largest democracy in the world by population. As of today, Electronic voting machines (EVMs) have replaced paper ballots in all national and general elections in the country. The aim of this international collaboration is to develop an electronic voting process that will be fully verifiable, hence providing stronger guarantees on the tallying integrity of an election. This builds on the UK team鈥檚 leading research on end-to-end verifiable e-voting without tallying authorities (also known as "self-enforcing e-voting") and the India team's strength on cryptography and statistics research. The success of this project will not only provide an invaluable case study, but also a potentially portable solution for other countries that face similar development problems in deploying e-voting securely (e.g., Brazil, Nigeria).

About Royal Society International Collaboration Award

The Global Challenges Research Fund (GCRF) is a 拢1.5 billion fund announced by the UK Government to support cutting-edge research that addresses the challenges faced by developing or Low and Middle Income countries (LMICs). As part of the GCRF, the Royal Society has launched an International Collaboration award to enable outstanding UK research leaders to develop international collaborations with the best leading researchers from around the world. The award is for three years and offers an exciting opportunity to foster and promote international collaboration between outstanding research groups in the UK and overseas, with a view to supporting work on global challenges and problems facing developing countries.

More details about this award can be found at: