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Digital and computational pathology

Diagnostics Digital and computational pathology

Deep Learning Diagnostics for Barrett’s Esophagus

| Olivia Gaskill

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

Inside the Lab Digital and computational pathology

Finding Prognostic Patterns in Gigapixel Images

| Heather D. Couture

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

Diagnostics Digital and computational pathology

Differential (AI) Decisions

| Olivia Gaskill

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

Diagnostics Digital and computational pathology

Staying Ahead of the Rest with Spatial Phenotyping

| Sponsored by Akoya Biosciences

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

Inside the Lab Digital and computational pathology

A Receptive Field

| Michael Schubert

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

Inside the Lab Digital and computational pathology

Embracing Pathology’s Digital Revolution with Deep Bio

| Sponsored by Deep Bio

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

Inside the Lab Analytical science

Optimizing Cancer Research with the MMI CellCut

| Sponsored by Molecular Machines

Advanced laser microdissection technology empowers high-precision cancer research

Inside the Lab Digital and computational pathology

Riding the Next Wave of Diagnostic Test Development with InSituPlex

| Sponsored by Ultivue

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

Inside the Lab Digital and computational pathology

The Proof is in the (AI) Training

| Chaim Linhart

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

Inside the Lab Digital and computational pathology

Transforming Immuno-oncology Research Applications

| Sponsored by Lunaphore Technologies

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


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