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Genetics and epigenetics

Inside the Lab Digital and computational pathology

Mutation Detective

| Luke Turner

A new algorithm finds that a quality control process to remove nonsense mutations in our immune system could be having an undesired effect

Subspecialties Neurology

Predicting Prognosis in Glioblastoma

| Luke Turner

A link between cfDNA concentration and progression-free survival in glioblastoma patients supports the use of liquid biopsy when predicting prognosis

Inside the Lab Microscopy and imaging

The Innovators 2019

Leading industry innovators showcase their newest and most advanced solutions for pathology and laboratory medicine

Diagnostics Genetics and epigenetics

What is the Real Impact?

| Sponsored by Thermo Fisher Scientific

How valuable can it be to receive fully automated NGS results in a single day? A group of experts share their views

Diagnostics Biochemistry and molecular biology

Molecular Diagnostics on the Rise

| Michael Schubert

Accurate, safe, and dependable diagnostic tools are crucial – and this is where molecular diagnostics has the opportunity to shine

Diagnostics Biochemistry and molecular biology

Quick Hits

| Luke Turner

Read these bite-size breakthroughs to discover the latest research in the field of diagnostic medicine

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

Subspecialties Microbiology and immunology

A Whole New (Microbial) World

| Luke Turner

New research uncovers thousands of previously unidentified tiny proteins in the microbiome that could advance our understanding of human health

Diagnostics Genetics and epigenetics

Reference Genome Refresh

| Luke Turner

An analysis of 1,000 Swedish genomes reveals greater heterogeneity and shows why the human reference genome needs updating

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


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