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Understanding the molecular subtype of a cancer is becoming an importance part of the diagnostic process as it helps a doctor better understand a patient’s prognosis, determine the best course of action for treatment and helps researchers devise new, more-efficient, precision therapies.

Image information can be used to predict the molecular classification of patient tumour samples in colour, using state-of-the-art deep learning models in pathology

Hala Estephan

PhD Hala Estephan - Postdoctoral Researcher

Yang-Hong Dai

MD Yang-Hong Dai - DPhil student

Dimitris Vavoulis

BSc, MRes, MSc, PhD Dimitris Vavoulis - Computational Biologist

Juliet Lawrence

Juliet Lawrence - Communications Officer

Aihan Zhang

BSc, PhD Aihan Zhang - Postdoctoral researcher

Qiwen Huang

B.S., M.S. Qiwen Huang - DPhil Student

Peter Wan

BSc, MPhil, DPhil Peter Wan - Postdoctoral researcher

Olivier Zanier

MMed Olivier Zanier - DPhil student

Ahmet Hazini

PhD Ahmet Hazini - PCUK Career Acceleration Fellow

Tess Stanly

Dphil Tess Stanly - Postdoctoral Research Scientist

Mark Macsuka

MSci Mark Macsuka - DPhil student

Shannon Russell

Sandeep Unwith

Sandeep Unwith - DPhil Student

Rebecca Brehm

MSc Clinical Trials, BSc (Hons) Biological Sciences Rebecca Brehm - Clinical Trial Administrator - Oncology Clinical Trials Office (OCTO)

Anastasia Kosmidou

Anastasia Kosmidou - MRes Student

Sevasti Zervou

BSc(Hons) PhD FHEA Sevasti Zervou - Director of Studies, MSc Precision Cancer Medicine

Philip Camilleri

Philip Camilleri - Honorary Senior Clinical Researcher

Victoria Woodcock

Victoria Woodcock - Honorary Senior Clinical Researcher

Ben George

Ben George - Honorary Senior Researcher

Niamh Appleby

New Study Finds Common Virus May Improve Skin Cancer Treatment Outcomes

A new study led by the University of Oxford has revealed that a common and usually harmless virus may positively influence how skin cancer patients respond to current treatments.

Oxford and GSK launch £50million immuno-prevention programme to advance novel cancer research

Global biopharma company GSK invests up to £50 million in a collaboration with Oxford to advance the understanding of how cancer develops, which could inform future development of vaccines to prevent cancer.

Machine Learning Enhances Detection of Multiple Cancer Types from Blood

Researchers from the University of Oxford have developed TriOx, a highly sensitive blood test that detects six cancers at their earliest stages. Published today in Nature Communications, the findings highlight the test’s potential to transform early cancer detection and improve patient outcomes.

Study Publishes New Insights on Goblet Cell Differentiation in Colorectal Cancer

The Oncology Department at the University of Oxford is excited to announce the forthcoming publication in the Proceedings of the National Academy of Sciences (PNAS) of the research paper “Goblet Cell Differentiation Subgroups in Colorectal Cancer.” This groundbreaking study sheds light on the role of goblet cell differentiation in colorectal cancer (CRC) and its impact on cancer progression and prognosis.

Ground-breaking Study reveals previously unknown genetic causes of Colorectal Cancer

A pioneering study, led by UK universities, including the University of Oxford, The Institute of Cancer Research, London, the University of Manchester and the University of Leeds, has provided the most comprehensive analysis to date of the genetic makeup of colorectal cancer (CRC).

Subashan Vadibeler wins 2024 Lasker Essay Contest

Subashan Vadibeler, a recent Oxford Rhodes scholar and Department of Oncology student, is one of five co-winners of the international 2024 Lasker Essay Contest, sponsored by the Lasker Foundation.

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