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Diagnostics Omics

In Search of the Perfect Test

| Paolo Actis

Fast, effective, affordable, portable… Can new technologies tick all these boxes in a single test?

Outside the Lab Analytical science

How to Teach (Pathology) So Students Will Learn

| Shivayogi Bhusnurmath, Bharti Bhusnurmath

Two educators explain how they provide their medical students with the best possible grounding in the discipline

Outside the Lab Training and education

Long-Distance Learning – With a Heart

| Christina Arnold, Adam Booth, Ashley Holloman, Kamran Mirza, Michael A. Arnold, Teresa S. Burgin

In the midst of a pandemic, a virtual pathology lecture series stepped up to fill the training gap

Outside the Lab Profession

So Much for “Antisocial”

| Emily Towery, Philip Hurst, Matthew Luo, Brett Kurpiel, Kamran Mirza

Pathology is a social discipline – and with the rise in social media has come a change in the landscape of education, community… and residency matchin

Subspecialties Histology

Learn to Gross

A series of tutorials for gross examination

Outside the Lab Profession

Pathology in the East and the West

| Michael Schubert

Two pathologists who have practiced internationally explore the differences – and the similarities – between distant regions

Inside the Lab Quality assurance and quality control

The Fantastic Four: Quality Control Questions for the Clinical Lab

| Satish Ramanathan

What do you know about sigma metrics and their value and applications in the clinical laboratory?

Subspecialties Oncology

Biomarker Tests for Precision Oncology: DIY or Pay-for-Service?

| Sponsored by Thermo Fisher Scientific

Cancer patient management of is increasingly driven by biomarker assays – but how should we manage the assays?

Outside the Lab Training and education

Burnout: The Other Epidemic

| Ritcha Saxena

Medical student burnout is an age-old problem exacerbated by the pandemic – and students need better tools to protect their health and wellbeing

Inside the Lab Software and hardware

Algorithmic Assistance

| Chaith Kondragunta

By working with each other – and with carefully designed algorithms – we can improve patient outcomes

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