University of Edinburgh
— UEDIN —
The University of Edinburgh, established in 1583, is ranked as one of the top universities in the world (#20 in QS World Univ. Ranking 2020) with a special commitment to global interactions in science, engineering, and health care.
In the UK, the Research Excellence Framework (REF) is the system for assessing the quality of research in UK higher education institutions. Each of the University’s three Colleges has at least one research area ranked top in the UK; (a). Edinburgh research in Sociology, in Earth Systems and Environmental Sciences including geography; (b). Computer Science and Informatics was rated the best in the UK based on breadth and quality of research; and (c) joint submissions in Agriculture, Veterinary and Food Science with Scotland’s Rural College (SRUC); and in General Engineering with Heriot-Watt University (Edinburgh). Edinburgh is also one of a select group of British universities to achieve outstanding results when demonstrating the impact of its research on wider society. More than half of its research in this category has been classed as 'world leading'.
The formation of a unit between the University of Gdansk and the University of Edinburgh brought expertise from both organization to ensure that: (i) research themes were cutting-edge; (ii) academic recruitment was committed to excellence; (iii) PhD and MD training and mentoring were innovative, inter-disciplinary, and global in vision; (iv) advanced training courses were established to encourage international mobility; (v) new national and international scientific networks were developed; (vii) local, national, and international biotechnology and industrial collaborations were fundamental to translational success; and (viii) a dynamic international advisory committee advised on directions, facilitated collaborations, expanded the potential of international networks, and promoted training through mobility.
Role within KATY
The University of Edinburgh was involved in the following KATY work packages:
- WP2 – Provide a patient dataset of 1,000 renal cancers and clinical requirements and scenarios.
- WP5 – Contribute to Predictive AI models and explainable AI decisions.
- WP6 – Aid in molecular profiling of patient samples, contributing genomic and transcriptomic data. The Edinburgh team also helped with clinical validation and feedback of the AI models.
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