Welcome to the Cancer Prevention and Screening Blog.
The Centre for Cancer Screening, Prevention and Early Diagnosis brings together researchers working across risk prediction, prevention, screening and early diagnosis of cancer in primary care. Our expertise spans general practice, behavioural science, clinical trials, epidemiology, gynaecological oncology, data science, biostatistics, molecular testing and applied health research.
We aim to improve cancer outcomes by translating research findings into policy and practice, helping to prevent cancer where possible and diagnose it earlier when it is most treatable.
Zero Deaths Under 25: How HPV Vaccination Is Transforming Cervical Cancer Prevention
18 June 2026
A generation ago, eliminating cervical cancer deaths seemed unimaginable. Today, HPV vaccination is making that vision a reality. Professor Peter Sasieni explains how one of the greatest public health successes of our time is saving lives.
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Loubna Bijdiguen’s inspiring speech, “My Journey with PPI at QMUL: A Personal Reflection.”
9 June 2026
One of the highlights of our recent CCSPED Away Day was a powerful speech from PPI representative Loubna Bijdiguen. In this personal reflection, Loubna shares her journey into research involvement and why meaningful community engagement matters for early cancer detection research.
Mel Ramasawmy- Co-designing videos to explain ‘large language models’ in healthcare and research
4 November 2025
Large language models (LLMs) are a type of artificial intelligence which are being used more often in health care and research. Working with a group of PPIE contributors in Tower Hamlets, our research team co-created accessible resources to support the public to engage in LLM research and use them more safely.
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5 minutes with: Dr Oleg Blyuss
3 April 2025
Dr Oleg Blyuss is a Reader in Data Science and Statistics at the Centre for Cancer Screening, Prevention and Early Diagnosis. His research is around development of predictive models that use multi-omic data for the early detection of cancer. Current grants aim at the analysis of longitudinal data arising from serum biomarkers and MRI images, which allows for a personalised approach in early detection. Oleg holds a PhD in Applied Mathematics from Oles Honchar Dnipro National University, Ukraine.