Articles about 'Rebecca Fitzgerald'

Leaders in fields from chemistry to cancer research and computing are among the Cambridge academics recognised today.

Marcel Gehrung, co-founder and CEO of rapidly growing Cambridge biotech company, Cyted, on revolutionising disease diagnostics and the challenges of building a business during a pandemic.  

Abnormal cells that develop into oesophageal cancer – cancer that affects the tube connecting the mouth and stomach – start life as cells of the stomach, according to scientists at the University of Cambridge.

Artificial intelligence ‘deep learning’ techniques can be used to triage suspected cases of Barrett oesophagus, a precursor to oesophageal cancer, potentially leading to faster and earlier diagnoses, say researchers at the University of Cambridge.

DNA from tissue biopsies taken from patients with Barrett’s oesophagus – a risk factor for oesophageal cancer – could show which patients are most likely to develop the disease eight years before diagnosis, suggests a study led by researchers at the University of Cambridge and EMBL’s European Bioinformatics Institute (EMBL-EBI).

A ‘pill on a string’ test can identify ten times more people with Barrett’s oesophagus than the usual GP route, after results from a 3-year trial were published in the medical journal The Lancet.

Cambridge scientists are set to benefit from a major cash injection from Cancer Research UK and partners to develop radical new strategies and technologies to detect cancer at its earliest stage.

Kate Gross was just 36 years old when she died of cancer. Researchers at Cambridge – including her husband – are trying to ensure that others receive their diagnoses early enough to stop their cancer. 

Thirty years ago, Professor Richard Gilbertson pledged to implement a 15 per cent reduction in mortality from children’s brain cancer. This is the story of what happened next.

Interview: Lucy Jolin​

Tailored, targeted treatment for patients with oesophageal cancer could be developed after scientists discovered that the disease can be classified into three different subtypes