The University of Southampton

Exploding stars algorithm to be trained to detect early warning signs of skin cancer

Published: 10 January 2020
The MoleGazer methodology will track changes in skin moles to detect skin cancer

Astrophysicists at the University of Southampton are adapting an automated algorithm used for monitoring supernovae explosions to detect the early signs of skin cancer.

The project, known as MoleGazer, will track changes in patient images to potentially lead to earlier diagnoses and improved survival rates.

Head of Physics and Astronomy Professor Mark Sullivan and Postdoctoral Researcher Dr Mathew Smith will work alongside Oxford University Hospitals NHS Foundation TrustÂ’s Dr Rubeta Matin on the proof of concept, which is funded by the European Research Council.

Skin cancer is one of the most common cancers in the UK. According to Cancer Research UK there are 16,000 new cases of melanoma and 147,000 of new cases of non-melanoma skin cancer diagnosed each year.

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