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Digital and computational pathology

Inside the Lab Digital and computational pathology

Harnessing the Diagnostic Data Revolution

| David Wells

Rethinking our approaches to diagnosis and information management in the 21st century

Inside the Lab Digital and computational pathology

Dispelling the Myths

| Nathan Buchbinder

Nathan Buchbinder walks us through the process of converting pathologists and lab medicine professionals to the promise of AI

Diagnostics COVID-19

Bitesize Research Breakthroughs

| Liv Gaskill

From predicting antibiotic resistance to investigating SARS-CoV-2 immunity, we bring you the latest in pathology and laboratory medicine

Inside the Lab Digital and computational pathology

Artificial Education

| Chen Sagiv

Discover the key difference between classical machine learning and deep learning

Inside the Lab Digital and computational pathology

Digitization – By the Lab, For the Lab

| Sponsored by Fujifilm

The lab’s future is digital, but only if software is thoughtfully designed for the needs of clinical users

Inside the Lab Biochemistry and molecular biology

Introducing… Fundamentals

| Michael Schubert, Liv Gaskill

Updates from from the molecular pathology, infectious disease, and digital pathology landscapes

Inside the Lab Digital and computational pathology

Can Automation Save the NHS?

| Liv Gaskill

Diagnostic demand is on the rise – and it’s not slowing down. Could automation support the laboratory workforce and combat growing pressures?

Diagnostics Digital and computational pathology

When Pathology Goes 3D

Stratifying cancers with non-destructive 3D pathology

Outside the Lab Clinical care

2021: A Laboratory Medicine Roundup

| Liv Gaskill

From transgender healthcare to the power of pathology podcasts, we take a look at our most popular articles of the last year

Subspecialties Oncology

Your Newest Colleague?

| Jakob Nikolas Kather

Jakob Kather highlights the value of AI-based end-to-end biomarkers in oncology

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