An Oxford study of cancer in children and young adults in England has found that fewer patients were diagnosed during the COVID-19 pandemic, but cancer diagnosis in children following admission to intensive care was higher.
Work by researchers at Oxford University Hospitals has highlighted how the images and accompanying data available for training artificial intelligence (AI) to spot skin cancer are insufficient and include very few images of darker skin.
Dr Weiqi Liao and Professor Julia Hippisley-Cox have identified a series of symptoms associated with pancreatic cancer, including two previously unrecognised symptoms.
A paper led by Dr Zhiyuan Hu from Professor Ahmed Ahmed\u2019s lab has won the Columbia Hospital for Women Research Foundation\u2019s 2020-2021 prize for impact.
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.
Hashem Koohy, Rafael Perera, Benjamin Schuster-B\u00f6ckler and Clare Verrill will join the Turing network for 2021-2022 to further their research in cancer big data.
A partnership between the University of Oxford and GRAIL, LLC will evaluate the use of a new, non-invasive, multi-cancer early detection test known as Galleri\u2122 in suspected cancer patients.
Research from Dr Brian Nicholson and colleagues outlines how routine clinical tests could be widely used to estimate the risk of cancer for people visiting their GPs with unexpected weight loss.
Congratulations to Alistair Easton, Siim Pauklin, Susie Shapiro and their collaborators who have been awarded funding in the second round of the OxCODE Funding Scheme.
Optellum, a lung health start-up in Oxford, aims to redefine early interception of lung cancer using artificial intelligence (AI) decision support software.
OxCODE is working under the umbrella of a new pan-divisional initiative at the University of Oxford that brings together the collective force of cancer research, outreach and care that happen across the city of Oxford.
Researchers at the Botnar Research Centre have developed technology that facilitates standalone long-read Oxford Nanopore sequencing of single cells, opening avenues for understanding the causes of diseases like cancer.
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 as part of a successful NHSx Artificial Intelligence Health and Care Award application.
Clinicians and engineers in Oxford have begun using artificial intelligence alongside endoscopy to get more accurate readings of the pre-cancerous condition Barrett\u2019s oesophagus and so determine patients most at risk of developing cancer.
A multidisciplinary team, comprising Andrea Chatrian, Dr Richard Colling, Professor Clare Verrill, Professor Jens Rittscher and colleagues, develops an algorithm for automated requesting of additional investigation in diagnostically uncertain prostate biopsies.
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