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The University of Manchester has been recognised as one of the Top 25 institutions in the world with the highest citation impact on Digital Health. The University secured 4th place worldwide according to an analysis from – a leading global information services provider, at Times Higher Education’s Digital Health Summit.

The evolution of solutions is creating new opportunities to transform patient care and personal health outcomes. From remote monitoring and wearables, to artificial intelligence and machine learning, digital technologies are enabling health data collection and analysis and offering new insights, diagnosis and therapies.

Here is an overview of the Citation Impact on Digital Health Top 25 Rankings. The complete list can be accessed in ’s article.

Research into digital health has grown massively nowadays, whereas the scale of growth in digital health research is remarkable. Based on Clarivate data, publications on digital health topics – which include everything from wearable devices and mobile apps to AI analytics, telemedicine and 3D printing of drugs – have risen nearly 70-fold between 2013 and 2022, from a mere 39 Web of Science-indexed papers to 2,641 – while UK researchers were involved in 20 per cent of all papers.

The statistics demonstrate that the University currently has 75 digital health papers in the Web of Science, 1582 citations, 32 per cent of papers in the top 10 per cent by citation, scoring 2.50 category normalised citation impact (CNCI). It showcases 91Ö±²¥â€™s consistent efforts to advance digital health research that benefits the public.

Previously, the immense volumes of medical data from numerous wearable devices or mobile phones might have overwhelmed even the most data-savvy researcher. However, artificial intelligence now enables researchers to effectively navigate such vast amounts of information without requiring advanced coding skills. Likewise, hospitals and health centres worldwide are sharing patient records in a manner that allows algorithms to detect trends, including identifying emerging pandemics at their onset.

Recent University of Manchester research, alongside Oxford University and Cancer Research UK used Artificial Intelligence to reveal a new form of aggressive prostate cancer which could revolutionise how the disease is diagnosed and treated in the future.

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