Published: 03 July 2018

Postdoctoral researcher honoured for AI research

Dr Santosh Tirunagari has been recognised with the CogX award for his work on AI-based software which could enable remote monitoring of chronic diseases.

Dr Tirunagari receives the CogX award
(L-r) Rory Bremner, Dr Tirunagari and CognitionX founder Charlie Muirhead.

The CogX awards are awarded annually at the CogX Festival to recognise individuals, products and companies that have made a significant contribution in the field of artificial intelligence (AI) around the world. Dr Tirunagari, Research Fellow in machine learning for healthcare within the Department of Computer Science, was recognised in the ‘Outstanding contribution to AI – postdoc research’ category. He was presented with his award by political impressionist Rory Bremner and internet entrepreneur and founder of CognitionX Charlie Muirhead.

One of the biggest AI events in the world, this year’s CogX Festival took place from 11 to 12 June in London and attracted over 7,500 attendees.

Dr Tirunagari was honoured for his work developing AI-based algorithms and software aimed at improving understanding of chronic diseases such as diabetes and Chronic Kidney Disease (CKD). The AI models, which have been validated by expert clinicians, give doctors access to actionable predictions about their patients’ chronic conditions. Dr Tirunagari has developed the technology in collaboration with Surrey’s Department of Clinical and Experimental Medicine and East Kent Hospitals University NHS Foundation Trust.

Dr Tirunagari commented: “My aspiration has always been to contribute to the betterment of society using my education so I am pleased to have been able to use my AI knowledge to create technology which could reduce costs for hospitals and save clinicians valuable time. The state-of-the-art software could reduce the human effort (and cost) of identifying millions of patients’ records manually, giving it potential applications in hospitals for monitoring CKD and diabetic patients remotely. It could also improve our understanding of patient population trends over time.”


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