Digital and computational pathology

Talat Zehra highlights the need for universal access to digital and telepathology

Pathology is being radically transformed by digitization

Big data is key to precision medicine, but presents a stumbling block for analysis – can machine learning help us overcome this hurdle?

We bring you the latest research in pathology and laboratory medicine – from machine learning to the genetic effects of the Chernobyl disaster

Digital pathology is neither a replacement for, nor a supplement to, pathologists – it is a tool to help them improve their own working experience

Use of human anatomical pathology specimens is on the decline – but 3D printing may facilitate their safe and ethical comeback

A new machine learning algorithm triages Barrett’s esophagus diagnosis to detect early signs of esophageal adenocarcinoma

By applying deep learning to digital pathology images, we can improve our risk-stratification of patients

A new algorithm goes beyond Bayesian inference to help physicians make differential diagnoses