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Best Paper prize for Machine Learning in Healthcare paper

Dr. Tingting Zhu, a junior research fellow in the Department and Glen Wright Colopy, a doctoral student at the Department’s Institute of Biomedical Engineering (IBME), have been recognised for their work at the IEEE Biomedical & Health Informatics Conference (BHI) that took place in March in Las Vegas, USA.

BHI is one of the leading "Artificial Intelligence in Healthcare" conferences, with anIBME picture.jpg acceptance rate for oral presentations of just 15%.

Their paper, 'Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes', received one of three 'Best Paper' awards at the conference, and also received a prize of $1,000 dollars sponsored by Google Cloud. An extended version of their paper will appear in a Special Issue of the IEEE Journal of Biomedical Health and Informatics, one of the leading journals in their field.
Tingting, who presented the paper in Las Vegas, said: ‘It was a very special experience to attend BHI and meet researchers working across a wide range of topics in machine learning and healthcare.”

Tingting_Zhu_9232.JPGTingting and Glen (pictured) are in the Computational Health Informatics (CHI) Lab, with Professor David Clifton, who said, “It’s great to see exciting work from Oxford making the headlines; Tingting and Glen have worked closely with Professor Chris Pugh and his team within the Nuffield Department of Medicine on this project, which involves predicting distress in patients undergoing dialysis".

"This is an important area, because such patients undergoing renal therapy have a very high chance of mortality. Additionally, the techniques can be applied to predicting the health of patients in a variety of other settings – the university has patented the work for licensing with industrial partners, with the ultimate aim of having it deployed in the NHS.”