For the fourth year running the University of Oxford has been ranked first in the world for Computer Science in the 2022 World University Rankings. Many Oxford Cancer members are working in computer science to develop AI algorithms to detect cancer earlier, and implement machine learning into new technologies.
Dr Pui San Tan and Professor Julia Hippisley-Cox receive a Research Innovation Award from Pancreatic Cancer UK to develop a risk tool to predict pancreatic cancer in patients with diabetes.
A collaboration between mathematicians, pathologists and clinicians has shown how techniques from computational algebraic topology can be used to understand the spatial distributions of immune cell subtypes within tumours.
According to new research led by NDPH, Chinese people who regularly drink alcohol have significantly greater risks of developing severe liver diseases, such as cancer.
Read their introduction to the National Cancer Imaging Translational Accelerator (NCITA): a UK-wide infrastructure for multicentre clinical translation of cancer imaging biomarkers.
A prostate cancer detection software system to help pathologists quickly identify suspicious areas of tissue, developed by Paige, will be investigated in a multicentre clinical study led by Oxford University.
A new calculator has been developed by Professors Julia Hippisley-Cox and Carol Coupland to help GPs prioritise patients at high risk of prostate cancer.
Dr Defne Saatci and Professor Julia Hippisley-Cox will develop risk prediction tools using the QResearch database to support the earlier detection of childhood, teenage and young adult cancer
University of Oxford, OUH and GenesisCare have partnered to provide access to a new ViewRay MRIdian machine. It is the first of its kind in the UK and will help to improve challenging cancer treatment through faster, tailored radiotherapy.
New research from the Nuffield Department of Population Health shows that reducing alcohol consumption in China could be an important cancer prevention strategy
Nuffield Department of Population Health researchers are using the China Kadoorie Biobank to identify potential protein biomarkers in the blood that could be used to predict the presence or development of pancreatic cancer
The ADEPTS study uses the QResearch database to better understand what \u2018red flag\u2019 symptoms may be associated with pancreatic cancer, in the hopes of promoting earlier diagnosis from primary care.
Researchers from the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) are utilising the China Kadoorie Biobank to better understand how breast cancer risk factors may differ between individuals from Western and Eastern populations
The Cancer Epidemiology Unit has been using the largest epidemiological data set of its kind to unlock the secrets of breast cancer, what can be done to prevent it, and which women are most likely to develop it
Researchers in the Primary Care Epidemiology Group are joining two landmark projects to combine healthcare data and artificial intelligence to improve cancer diagnosis
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