Tumours are complex entities and current pathological techniques do not capture that complexity. However, the new suite of spatial tools, […]
Researchers have recently developed an in vitro model that can distinguish between the genetic, epigenetic and stochastic factors underlying tumour […]
As part of the Pan-Cancer Analysis of Whole Genomes Consortium, researchers analysed the whole genomes of tumour samples from over […]
Early cancer detection significantly increases a patient’s chances of a positive outcome and can reduce treatment costs. However, current cancer […]
Researchers have developed a novel way to understand tumour heterogeneity that could be used to prevent cancer relapse. The study, […]
Researchers have developed a platform of pan-cancer tumour organoids and a neural-network-based drug assay, that has the potential to advance […]
MOBSTER – model-based clustering in cancer, is a machine learning tool that incorporates theoretical population genetics from Darwin to examine […]
Researchers at Tongji University, Shanghai, have developed a large-scale curated database that integrates tumour microenvironment (TME) single-cell transcriptomic data, known […]
The Festival of Genomics and Biodata is just around the corner, and we’ve had the opportunity to sit down with […]
This webinar series is CPD certified – earn up to three CPD points by attending. Mark your calendar for Thursday […]
