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Artificial intelligence for identifying medications associated with the risk of developing cutaneous squamous cell carcinomas
Participants
Summary
Skin cancers are the most prevalent form of cancer in the UK, with cutaneous squamous cell carcinoma (cSCC) incidence rising by 40% in the past decade, along with a 40% increase in mortality rates, despite a decline in overall cancer mortality. Globally, cSCC accounts for more deaths than melanoma.
This project aims to develop artificial intelligence methods to identify the association between the medications taken by the patients and the risk of developing cSCC. We extracted the data from the Clinical Practice Research Datalink (CPRD) and Figure shows the initial results of exposure analysis. This work could enhance patient safety and enable more personalised prescribing by identifying medications that either increase or decrease cSCC risk.
The study is jointly led by Dr.Zoe Venables from Norfolk and Norwich University Hospital(NNUH) and Prof. Wenjia Wang from the School of Computing Sciences (CMP) and is carried out by a multidisciplinary team of AI specialists, statisticians, dermatologists, and pharmacologists, in collaboration with School of Computing Science UEA, Norwich Medical School and the Department of Dermatology, Norfolk and Norwich University Hospital. It also strengthens partnerships with the Universities of East Anglia, Manchester, Nottingham, and Dundee.
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Funding
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