ED@crukcambridgecentre.org.uk
01223 763384
Symposium 2021
ED@crukcambridgecentre.org.uk
01223 763384
Symposium 2021
Published: 04th May, 2021
Rebecca Fitzgerald, Professor of Cancer Prevention and co-lead of the Early Detection Programme, was one of the experts consulted by parliament to consider how to prepare for a changing world.
As part of the Parliamentary Office of Science and Technology's Horizon Scanning process, 30 areas of change were identified that will help the UK Parliament prepare for the future.
Published: 26th April, 2021
A new study, led by Dr Serena Nik-Zainal, has shown a new way to identify tumours that could be sensitive to particular immunotherapies. Developed using data from thousands of NHS cancer patient samples sequenced through the 100,000 Genomes Project, the MMRDetect clinical algorithm makes it possible to identify tumours that have ‘mismatch repair deficiencies’ and then improve the personalisation of cancer therapies to exploit those weaknesses.
Published: 15th April, 2021
Artificial intelligence (AI) could help free up pathologist time and allow them to focus on diagnosing the most tricky cases of Barrett’s oesophagus, according to a Cancer Research UK-funded study published in Nature Medicine today (15th April 2021).
Published: 07th April, 2021
In an interview in the Cambridge Alumni Magazine, Professor Rebecca Fitzgerald explains the remarkable story of the cytosponge and how her literary hero Sherlock Holmes has inspired her to tackle the challenges of early cancer detection.
Read the full 'Cytosponging' feature in CAM.
Published: 07th April, 2021
Dr Daniel Muñoz Espín has recently been accepted as a Member of the Cambridge Philosophical Society. He gave his welcome lecture to the Society on the subject of Targeting Cellular Senescence in Cancer and Ageing. As global populations continue to age Daniel talks about the move towards more anti- senescent therapies and his research on targeting cellular senescence in cancer and ageing.
Click here to hear the talk.
Published: 07th April, 2021
We are delighted to share a fascinating series of discussions and talks from the BEST3 event giving an in-depth look at the results of the BEST3 trial, the use of the Cytosponge for detection of Barrett's oesophagus in primary care, and the implications for:
• Primary care professionals
• Pathologists
• Health researchers and research nurses
• The general public
Click here to select talks on subjects including the trial findings, a patient perspective, a health economics analysis, the GP perspective and pathology and artificial intelligence in BEST 3.
Published: 24th March, 2021
Cambridge start-up, Lucida Medical, co-founded by Professor Evis Sala, who is co-lead of the CRUK Cambridge Centre Advanced Cancer Imaging Programme, and Dr Antony Rix, has successfully raised significant seed funding from a group of investors led by XTX Ventures and Prostate Cancer Research.
Published: 10th March, 2021
Following the publication of their paper in Nature Communications on 9th March, a team led by Dr Walid Khaled at the University of Cambridge had their research featured on BBC Look East. Could their work one day lead to a blood test to help thousands of women avoid unnecessary preventative breast cancer surgery because they have the BRCA gene?
See the story on BBC Look East here
Published: 08th March, 2021
In advance of the 2021 Cambridge Festival we are delighted to present the first in our new Spotlight on Early Cancer Detection Research podcast series. In this series, members of the CRUK Cambridge Centre Early Detection Programme at the University of Cambridge will speak about their research and how it contributes to our ultimate goal of increasing survival from cancer and improving quality of life through early detection and intervention.
Published: 05th March, 2021
Artificial Intelligence (AI) techniques can be applied to primary care data to facilitate the early diagnosis of cancer, according to the first international review of studies on this topic.
The study, led by Dr Owain Jones, a clinical research fellow in the Early Detection Programme, aimed to systematically review AI techniques that may facilitate earlier diagnosis of cancer and could be applied to primary care electronic health record (EHR) data.