Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

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 © S:CORT

Similar stories

Further funding secured to hunt out cancer using innovative radiotherapy techniques

Initial success leads to new award for Oxford researcher pushing forward new cancer-hunting radiotherapy despite lockdown.

Reprogramming tumour cells using an antimalarial drug

Results from the ATOM clinical trial at the University of Oxford have shown that the anti-malarial drug Atovaquone can reduce very low oxygen tumour environments. This has the potential to make cancers behave less aggressively and to improve the impact of everyday cancer treatments.

Hidden lung damage from COVID-19 revealed in new study

Early findings from a study into longer-term damage amongst patients recovering from COVID-19 suggest that the use of cutting-edge scanning techniques may detect previously unseen lung damage.

Professor Sibson secures further MRC DPFS funding

Prof. Sibson together with her co-applicants Prof. Anthony, Dr Campbell and Prof. Middleton have now been awarded a second MRC DPFS grant, for £3.3 million, to acquire further preclinical data to support the case for clinical translation, to develop the mutTNF production for human use and to undertake pre-clinical toxicology.

Oxfordshire-based SCAN pathway wins BMJ award

A pathway designed to investigate individuals with non-specific but concerning symptoms of cancer wins the BMJ Awards 2020 Cancer Care Team of the Year.