In the past two decades, our Research Centre has formed a strong collaboration with commercial, industrial, medical establishments and universities around the world. Amongst them are AstraZeneca (Sweden and UK), Centrica (UK), St.Georges Hospital (London), Mitie (UK), UCL Department of gynaecology, Qinetiq, Aalto University (Finland), Linz University (Austria), CIEMAT (Spain), Complutense University (Spain).
Why choose us ?
Since 1998, we have been working closely with our industry partners to solve their real-world problems. Please contact us should you need your problem solved, or for any other enquiries.
Our reowned Research Centre is based at Royal Holloway, University of London, a world-leading institution with over 170 years of history, and over 10,000 students.
Our team consists of fathers of statistical learning theory, Prof. Vapnik who invented SVM, Prof. Vovk and Prof. Gammerman who invented Conformal Prediction, Prof. Shafer who invented Dempster-Shafer theory, to name a few.
Over the past 2 decades, we have invented more than a dozen of original theories, published over 500 research articles, and holding several patents, in the field of machine learning.
Below are some of our collaborations in the medical domain.
Exascale Compound Activity Prediction Engines
This is part of the €80 billion H2020 European Initiative with funding available over 7 years (2014 to 2020).
We produced state-of-the-art scalable machine learning algorithms with guaranteed performance for future Exascale machines to predict compound bioactivity.
We determine the potential for diagnosing various cancers and other diseases through the identification of proteomic biomarkers found in human serum.
This project was funded by St. Bartholomew Hospital, Western General Hospital Edinburgh, and the Veterinary Laboratories Agency.
Ovarian Cancer - Adnexal mass categorising
We worked with St. Bartholomew's in London to perform a diagnostic of ovarian cancer, using a variety of symptoms in 287 patients to distinguish benign adnexal masses frommalignant.
The above images show a patient's scan over a period of 24 hours.