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Technology and innovation

Inside the Lab Digital and computational pathology

What Is an AI-Enabled Digital Pathology Platform?

| Nathan Buchbinder | 3 min read

Cutting through the jargon on a key piece of AI in the lab

Subspecialties Oncology

Context Matters

| Sponsored by Miltenyi Biotec | 5 min read

How spatial biology is advancing cancer biomarker discovery

Inside the Lab Digital and computational pathology

Filling a Global Gap

| Gerardo Fernandez | 4 min read

How new technologies can help address pathologist shortages around the world

Subspecialties Oncology

A Tumor-Agnostic Prognostic Tool?

| Georgia Hulme

ctDNA tumor fraction acts as a prognostic biomarker across four advanced cancer types

Inside the Lab Digital and computational pathology

Blood Bots

| George Francis Lee | 3 min read

By leveraging the power of AI, computers can detect leukemia in blood samples – with human accuracy

Inside the Lab Digital and computational pathology

Looking Through a New Lens

| Catarina Eloy, Junya Fukuoka, Anil Parwani, Colin White | 3 min read

Digital pathology is static; we need a mindset shift to the dynamic process of digitizing pathology

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.

Subspecialties Hematology

Hematopathology? Hemato-technology!

| George Francis Lee | 3 min read

What are the latest developments in technology and techniques for hematopathology?

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

Outside the Lab Profession

The #MedMastodon Migration

| George Francis Lee | 5 min read

The decentralized social media site is hardly mammoth in size, but are Twitter’s denizens flocking there when faced with extinction?

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