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Oncology

Subspecialties Digital and computational pathology

Is Seeing Believing?

| Dan Gareau

Digital imaging software could unlock a new realm of visual biomarkers for detecting melanoma

Subspecialties Profession

Sequencing, Stratifying, and Standardizing

| Michael Schubert

Susan Branford, Associate Professor, Department of Genetics and Molecular Pathology, SA Pathology, Adelaide, Australia

Inside the Lab Oncology

The Rise of ctDNA, Part Two

| Michael Schubert

Circulating tumor DNA profiling can yield new insights into early-stage lung cancer evolution

Subspecialties Oncology

The Rise of ctDNA, Part One

| Roisin McGuigan

New ctDNA assays could make more metastatic melanoma cases detectable

Inside the Lab Oncology

Computers Catching Cancer

| Michael Schubert

A deep-learning network that detects invasive breast cancer may lighten the load for diagnosticians

Subspecialties Histology

Case of the Month

Take a look at these uterine tumor slides to see if you can figure out the diagnosis

Diagnostics Oncology

Omics in the Literature

What does analysis of the last 15 years of literature on the different omics tell us about the growing importance of the field

Diagnostics Oncology

Toward Integrative Omics

| Amanda Hummon

Cancer is a complex disease, and no single -omic technique can give us a complete picture

Diagnostics Oncology

Buried Treasure

Long non-coding RNAs are far from "junk" - and some are key to cancer cell survival

Subspecialties Microscopy and imaging

Collaborating for the Clinical Win

Ron Heeren, Director of the Maastricht MultiModal Molecular Imaging Institute, The Netherlands

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