Digital and computational pathology

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

With a new wave of advanced biomarker research on the horizon, spatial phenotyping can support researchers from bench to bedside

Are images still relevant in pathology and laboratory medicine? Yes – but they are no longer the only pillar upon which the field stands