Digital and computational pathology

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

Deep Bio stands at the front and center of digital transformation with DeepDx Prostate

Advanced laser microdissection technology empowers high-precision cancer research

Ultivue’s new multiplex immunofluorescence method optimizes standard anatomic pathology workflows and accelerates assay development

Ibex Medical Analytics cofounder Chaim Linhart shares best practices for training artificial intelligence algorithms in the pathology lab

Lunaphore’s microfluidic technology empowers small- to medium-sized laboratories to accelerate cancer research