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Inside the Lab


Inside the Lab Digital and computational pathology

Picture Perfect: Embracing Digital Pathology 2.0

| Prasanth Perugupalli | 2 min read

Thanks to automation, algorithms and computer vision, a new age of digital pathology has arrived.

Inside the Lab Digital and computational pathology

A Unique Perspective

| Michael Schubert, Aleksandra Jones | 5 min read

Integrating digital pathology into large medical centers wasn’t easy, but it was essential

Inside the Lab Quality assurance and quality control

For Your Reference

| Keith Miller | 9 min read

Immunohistochemistry is in desperate need of reference standards to ensure accuracy, consistency, and objectivity

Inside the Lab Technology and innovation

A Library of a Million Slides

| George Francis Lee | 2 min read

Deep learning could allow pathologists to search thousands of whole-slide images with a simple query

Inside the Lab Technology and innovation

Faster Than a Speeding Biopsy

| George Francis Lee

Multi-cancer early detection technology is allowing us to detect undiagnosed cancer earlier than ever before

Inside the Lab Technology and innovation

Digital Imaging – Upgraded

| Sponsored by Lumito | 2 min read

How Lumito’s innovative labeling system offers fresh insights into tissue diagnostics

Inside the Lab Technology and innovation

A Personal Touch to Cancer Screening

| Tim Simpson | 3 min read

AI has the potential to transform personalized cancer screening – but there are challenges we must first overcome

Inside the Lab Technology and innovation

Organoids: Only as Useful as Our Analysis

| David Ferrick | 5 min read

Organoids are an increasing presence in the lab – but their full potential will emerge as the technology to understand them evolves

Inside the Lab Digital and computational pathology

The Power of AI: Part Two

| Matthew J. Cecchini

Stunning images show the promise of AI in pathology outside the lab

Inside the Lab Bioinformatics

This Time, It’s Personal

| Ofer Sharon | 5 min read

Overcoming lung cancer treatment resistance requires predictive biomarkers that take into account patient variability


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