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November 2019 Issue of The Pathologist

This month’s special digital pathology themed issue celebrates all the field’s exciting achievements to date, and where they might lead in the future. We speak to X-Wow! creator Yuchun Ding to explore how the digital transition is helping resource-limited laboratories to expand their capabilities. His ambition to open doors for pathologists in the poorest areas is impacting those across the globe – and we speak to Peter Carey and Olaleke Folaranmi to learn more about the impacts. In addition, discover how AI can help to reduce diagnostic error, explore what augmented intelligence can offer pathology, and learn how to make the best business case for digital pathology. We also sit down with Liron Pantanowitz, Professor of Pathology and Biomedical Informatics at the University of Pittsburgh and Vice Chair for Pathology Informatics at the University of Pittsburgh Medical Center, Pittsburgh, USA.

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Articles featured in this issue

 Diagnostics Histology

Case of the Month

Case of the Month is back for November – but can you diagnose this 1.5 cm polypoid mass shown by ureteroscopy?
Inside the Lab Laboratory management

The Value of One

| Michael Schubert

It’s easy to underestimate the importance of a single laboratory task or a single person – but to do so is a mistake
Inside the Lab Digital and computational pathology

A Clearer Picture

| Luke Turner

Digital pathology can be hampered by poor-quality slide images, but HistoQC aims to address the issue by automatically filtering slides by quality
Diagnostics Genetics and epigenetics

A Pharmacogenomic Promise

| Michael Schubert

Pharmacogenomic testing can only improve patient care if it’s clinically validated, judiciously applied, and easily understood by healthcare providers
Diagnostics Genetics and epigenetics

Unraveling Complexity

| Michael Schubert

A new kind of deep learning model uses nonlinear information to draw new associations between genes and diseases
Inside the Lab Digital and computational pathology

A Renal Revolution

| Michael Schubert

Two new computational pathology tools offer promise in the challenging arena of renal pathology
Diagnostics Precision medicine

Deep Bio’s Deep Dive

| Sponsored by Deep Bio

AI diagnostics offer great potential for the future – and as a disease of many challenges, prostate cancer is a great first target
Inside the Lab Digital and computational pathology

Worth Fighting For

| Peter Carey

Our field must follow in the footsteps of radiology to reap the potential rewards of digital pathology
Inside the Lab Digital and computational pathology

Routine Diagnosis: 100 Percent Digital

| Juan Antonio Retamero

How converting one hospital system to fully digitized diagnosis has increased efficiency and provided excellent return on investment
Inside the Lab Digital and computational pathology

Precisely What You’ve Been Looking For

| Patrick Myles

Image search is vital to getting the most out of the exabytes of unstructured image data laboratories will gather in the near future
Inside the Lab Digital and computational pathology

The Future of Pathology Informatics

| E. Blair Holladay

Pathologists and laboratory medicine professionals must take informatics data from concept to clinic
Inside the Lab Digital and computational pathology

Empowering Precision Diagnosis Through Digital Pathology

| Sponsored by Roche

With increased adoption and capability of digital pathology solutions, reliability and high-quality images are key
Inside the Lab Digital and computational pathology

Erasing Pathology’s Borders

| Michael Schubert

In today’s increasingly connected society, how can digital pathology facilitate long-distance diagnosis and ease resource pressures across the globe?
Diagnostics Genetics and epigenetics

On NTRK and Other Fusion Biomarkers

| Fernando Lopez-Rios

Next-generation sequencing is changing the future of precision oncology with its ability to test for NTRK gene fusions and more
Inside the Lab Digital and computational pathology

The Colorful Reality of AI

| Richard Salmon

To provide diagnostic algorithms with uniform, valid input, digital pathology images must be standardized to real-world colors

Subspecialties Cytology

A Better Future for Bladder Cancer

| John Cucci

A new immunocytochemistry stain offers a sensitive, noninvasive, and cost-effective diagnostic tool for patients at risk of bladder cancer
Inside the Lab Digital and computational pathology

A Boost to Brainpower

| Justin Ko, Carrie Kovarik

Augmented intelligence may increase pathologist efficiency, reduce workloads, and improve patient care and outcomes
Inside the Lab Digital and computational pathology

(AI) Trial and (Diagnostic) Error

| Thomas Westerling-Bui

Diagnostic errors are a high-priority patient safety issue – and image analysis using artificial intelligence could help detect and prevent mistakes

Other issues of 2019