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Digital and computational pathology

Inside the Lab Digital and computational pathology

A New Kind of Second Opinion from Diagnexia

| Sponsored by Diagnexia

Inside the Lab Digital and computational pathology

Developing Digitally

| Talat Zehra

Talat Zehra highlights the need for universal access to digital and telepathology

Inside the Lab COVID-19

Understanding the Catalysts Behind the Acceleration of Digital Pathology

| Sponsored by Dell Technologies

Pathology is being radically transformed by digitization

Subspecialties Bioinformatics

RNA: The Villain… and the Hero

| Jarret Glasscock

Big data is key to precision medicine, but presents a stumbling block for analysis – can machine learning help us overcome this hurdle?

Diagnostics Digital and computational pathology

Bitesized Breakthroughs

| Olivia Gaskill

We bring you the latest research in pathology and laboratory medicine – from machine learning to the genetic effects of the Chernobyl disaster

Inside the Lab Digital and computational pathology

Digital Pathology to Achieve the Quadruple Aim

| Monica Santamaria-Fries

Digital pathology is neither a replacement for, nor a supplement to, pathologists – it is a tool to help them improve their own working experience

Inside the Lab Digital and computational pathology

From Pot to Print: Using 3D Scanning and Printing to Bring Back Pathology Specimens

| Paul G. McMenamin, Sarah E. Coupland, Justin W. Adams

Use of human anatomical pathology specimens is on the decline – but 3D printing may facilitate their safe and ethical comeback

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


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