Oxford to assess revolutionary multi-cancer blood test in trial, for future implementation in the NHS
15 September 2021
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™ in suspected cancer patients.
Oxford’s cancer-risk research featured in special edition of PLOS Medicine focussed on advances in early cancer detection
2 September 2021
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.
27 August 2021
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.
18 August 2021
Optellum, a lung health start-up in Oxford, aims to redefine early interception of lung cancer using artificial intelligence (AI) decision support software.
14 July 2021
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.
1 July 2021
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.
23 June 2021
Professor Anna Schuh’s research is featured in a case study by the National Institute for Health Research
22 June 2021
Congratulations to Dr Karthik Ramasamy for his £270,000 award from the Medical Research Council.
Oxford University and partners win government funding to evaluate Paige Prostate Cancer Detection System
16 June 2021
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.
9 June 2021
Clinicians and engineers in Oxford have begun using artificial intelligence alongside endoscopy to get more accurate readings of the pre-cancerous condition Barrett’s oesophagus and so determine patients most at risk of developing cancer.
26 May 2021
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.
25 May 2021
Nine OxCODE members have recently been awarded funding for their early detection research.
13 May 2021
OxCODE Associate Director Professor David Hunter has been elected as a Fellow of the Academy of Medical Sciences.
11 May 2021
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.
7 May 2021
Nina Wietek from the Ahmed lab is investigating fallopian tube tissue to see what we can understand about precancerous mutations in the tissue from which ovarian cancers develops.
7 May 2021
On 28-29th April 2021, we heard the latest developments from international leaders in these fields from the University of Oxford, Ludwig Cancer Research and beyond.
28 April 2021
Dr Chunxiao Song’s team build on its TAPS method to develop an alternative to costly whole-genome sequencing for the detection of DNA methylation.
21 April 2021
Professor Eric O’Neill and Dr Pui San Tan receive funding as part of teams applying novel approaches for the early detection of pancreatic cancer.
8 April 2021
Dr Constantinos Koshiaris has developed clinical prediction models for use in primary care with the aim of accelerating myeloma diagnoses.
CRUK Early Detection Primer Award for research into the clinical application of single cell genomics
6 April 2021
Dr Onima Chowdhury will investigate the clinical application of single cell sequencing for early diagnosis and response prediction in myelodysplastic syndromes.