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.
2 June 2021
Ludwig Oxford’s Dr Linna Zhou will investigate the role of the nervous system in cancer progression using engineered gastrointestinal tissues.
25 November 2020
A multidisciplinary team of researchers has developed a deep-learning framework for improving endoscopy to aid cancer detection.
22 March 2018
The sequencing of RNA from individual cells is an increasingly used, powerful method for studying cellular heterogeneity. However, the analysis of single-cell RNA-seq is limited due to the high technical variability between experiments and the inability to perform true technical replicates on the same cell. David Severson and colleagues from the labs of Benjamin Schuster-Böckler and Xin Lu have developed a new algorithm, BEARscc, published in Nature Communications, which uses simulation to improve the biological interpretation of single-cell RNA-seq experiments.