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Digital and computational pathology

Inside the Lab Digital and computational pathology

When the Current Serves

| Luke Turner

Anant Madabhushi has been at the forefront of computational pathology since its humble beginnings – but why and how did his journey in AI start?

Diagnostics Biochemistry and molecular biology

IVF ID

| Jonathan James

A neural network called STORK can predict embryo quality with over 90 percent accuracy, offering fresh hope for successful in vitro fertilization.

Diagnostics Analytical science

Now Streaming: Spectral Simplification

| Jonathan James

An algorithm originally developed for Netflix shows promise to improve the diagnostic applications of Raman spectroscopy.

Outside the Lab Profession

Lessons Learned, with Richard Levenson

| Richard Levenson

A leader in microscopy, imaging, and diagnostics shares the lessons he has learned over a varied and exciting career.

Inside the Lab Training and education

Revamping the Digital Interface

| Luke Turner

We sit down with digital pathology advocate David Wilbur to discuss how the advancement of digital interfaces could lead to widespread adoption.

Inside the Lab Digital and computational pathology

Long Live the (Digital) Revolution!

| Dariusz Borys

Pathology’s great strides forward in artificial intelligence and machine learning will bring us to the forefront of personalized medicine

Inside the Lab Clinical care

Under Pressure

| Will Culliford

How can diagnostic technologies help ease the increased healthcare pressures of the winter months?

Inside the Lab Digital and computational pathology

A Field in Transition

| Luke Turner

Discover the latest in the field of computational pathology and artificial intelligence

Outside the Lab Training and education

A Digital Museum

| Luke Turner

The online Pathology Education and Learning Centre aims to catalogue 3,500 specimens for teaching and learning around the world

Inside the Lab Digital and computational pathology

A Real PAIGE-Turner

| Luke Turner

Paige.AI is developing deep learning algorithms to revolutionize cancer diagnostics

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