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Using machine-learning approaches to identify blood cancer types

Improving the accuracy of myeloproliferative neoplasm typing at diagnosis will enable better selection of treatments for improved patient outcomes.

OxCODE funds three early detection projects

Congratulations to Brian Nicholson, Smita Patel, Nicola Sibson and their collaborators who have been awarded funding in the inaugural round of the OxCODE Funding Scheme.

Home tests for colorectal cancer could prioritise patients for referral

Research led by Dr Brian Nicholson enhances non-invasive risk stratification that aims to accelerate the diagnosis of colorectal cancer.

Oxford-based QResearch secures funding for accelerating oesophageal cancer diagnosis

Professor Julia Hippisley-Cox is collaborating on the University of Cambridge-led DELTA programme that aims to diagnose oesophageal cancer earlier.

Oxford University to lead a new national programme of AI research to improve lung cancer screening

UK Research and Innovation, Cancer Research UK and industry are investing more than £11 million in an Oxford-led artificial intelligence (AI) research programme to improve the diagnosis of lung cancer and other thoracic diseases.

Affordable approaches to earlier cancer diagnosis

Dr Toral Gathani wins seed funding as part of Cancer Research UK’s Affordable Approaches to Cancer scheme.

Investigating prostate cancer risk factors using routine blood tests

A UK Biobank study by Dr Eleanor Watts identifies associations between blood count data and risk of prostate cancer incidence and mortality.

Oxford-developed DNA methylation technology forms the basis of new startup company

Biotechnology company, Base Genomics, has launched based on Dr Chunxiao Song’s innovative TAPS technology.

Oxford technology holds great promise for a multi-cancer blood test

Ongoing Oxford research aims to improve the sensitivity of cancer blood tests with the goal of earlier detection for a variety of cancers.

Urine-based test for accurately assessing fatty liver disease

Prof Jeremy Tomlinson leads a study to identify non-invasive biomarkers for diagnosing and staging non-alcoholic fatty liver disease.

3D-printing synthetic tissues

Professor Hagan Bayley's laboratory improves the precision of their tissue printing technology.

External validation of an artificial intelligence tool for predicting malignancy in patients with lung nodules

The IDEAL consortium, led by Professor Fergus Gleeson, is working towards the earlier diagnosis of lung cancer.

Prof Xin Lu honoured by the Royal Society

OxCODE Director Xin Lu has been elected as a Fellow of the Royal Society for her contributions to cancer biology.

Understanding the link between unexplained weight loss and cancer diagnosis

Dr Brian Nicholson and colleagues analyse data from primary care to delve into this non-specific cancer symptom.

CRUK Early Detection Primer Award for sarcoma research

Dr Anjali Kusumbe, Prof. Richard Williams and Dr Felix Clanchy win funding to improve the detection of disease recurrence following treatment

£10 million for Oxford-led cancer epidemiology studies

Cancer Research UK fund research into cancer risk factors in the Million Women Study and China Kadoorie Biobank cohorts.

Improved reagentless detection assay for protein biomarkers

Professor Jason Davis develops a new type of detection surface that can be used for liquid biopsy-based diagnostic assays.

Insights into the cell of origin for ovarian cancer – steps towards early detection

New research brings the Ahmed group closer to finding the cell of origin of ovarian cancer, and their ultimate aim of developing a much-needed screening tool for ovarian cancer.

Crowd-sourcing approach to improve endoscopic detection of cancer

A comparison of algorithms developed to detect a range of imaging artefacts in endoscopy.

Early detection artificial intelligence and digital pathology sandpit

Oxford researchers contribute at a three day workshop focused on the use of digital pathology in the earlier detection of cancer.

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