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« Back to NewsNew DPhil studentships in Cancer Science available for 2024 intake
30 October 2023
Boccellato Byrne Lu Rittscher Schuster-Böckler Tomkova Van den Eynde White
Ludwig Oxford supervised DPhil studentships in Cancer Science are now being advertised for the 2024 intake
Collaboration announced between Satisfai and University of Oxford to develop AI methods of evaluating Barrett's oesophagus
9 October 2023
An agreement between Satisfai Health Inc and the University of Oxford will forward the automated assessment of Barrett’s oesophagus, designed to determine patients with the highest risk of developing oesophageal cancer.
Automated assessment of pathology image quality
6 April 2022
The new Oxford-developed artificial intelligence tool PathProfiler automates the quality control of large retrospective pathology image datasets to increase their usability in downstream research.
MP Anneliese Dodds tours Oxford cancer research
26 November 2021
Anneliese Dodds, MP for Oxford East & Chair of the Labour Party, visited the University of Oxford to learn more about the impactful cancer research happening across departments, including Ludwig Oxford.
AI endoscopy enables 3D surface measurements of pre-cancerous condition in oesophagus
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.
Artificial intelligence tool for streamlining pathology workflow
26 May 2021
A multidisciplinary team, comprising Ludwig Oxford’s Professor Jens Rittscher with Andrea Chatrian, Dr Richard Colling, Professor Clare Verrill and colleagues, develops an algorithm for automated requesting of additional investigation in diagnostically uncertain prostate biopsies.
Ludwig-Oxford Symposium on Cancer Early Detection and Epigenetics – a recap
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.
Using AI to improve the quality of endoscopy videos
25 November 2020
A multidisciplinary team of researchers has developed a deep-learning framework for improving endoscopy to aid cancer detection.
Using machine-learning approaches to identify blood cancer types
10 August 2020
Improving the accuracy of myeloproliferative neoplasm typing at diagnosis will enable better selection of treatments for improved patient outcomes.
Crowd-sourcing approach to improve endoscopic detection of cancer
18 February 2020
Evaluating the algorithms developed to detect a range of imaging artefacts in endoscopy.