Digital and computational pathology

Inside the Lab Digital and computational pathology

An Imaging Revolution: from CERN to the Clinic

05/17/2023 | Ron M. A. Heeren

Could recent developments in secondary ion mass spectrometry imaging revolutionize digital molecular pathology?

Inside the Lab Digital and computational pathology

Better Breast Cancer Care for All

05/08/2023 | Sadaf Sarfraz, Muhammad Mustafa | 2 min read

How digital pathology has the potential to improve outcomes in regions that traditionally lack access to high quality diagnoses

Outside the Lab Profession

The Place Maker

05/05/2023 | 5 min read

Sitting Down With... Aleksandra Zuraw

Inside the Lab Digital and computational pathology

Overcoming the Digital Disparity

04/28/2023 | Talat Zehra | 3 min read

Steps to make AI-enabled digital pathology a reality in the developing world

Diagnostics Analytical science

MSI Marvel

04/25/2023 | Georgia Hulme, Margot Lespade | 12 min read

Eva Cuypers discusses mass spectrometry imaging in clinical applications, and research on intraoperative diagnostics for the identification of cancer

Inside the Lab Digital and computational pathology

Pioneering Digital Pathology

02/27/2023 | Sylvia Asa | 3 min read

Integrating digital pathology into large medical centers wasn’t easy, but it was essential

Subspecialties Histology

Targeting the Forgotten

02/21/2023 | Angelene Berwick, Graham Holland, Bradford Power, Nicolas M. Orsi | 5 min read

How to empower patients in histopathology diagnostics as we navigate the emergent digital era

Inside the Lab Digital and computational pathology

What Is an AI-Enabled Digital Pathology Platform?

02/20/2023 | Nathan Buchbinder | 3 min read

Cutting through the jargon on a key piece of AI in the lab

Inside the Lab Digital and computational pathology

Filling a Global Gap

02/14/2023 | Gerardo Fernandez | 4 min read

How new technologies can help address pathologist shortages around the world

Inside the Lab Digital and computational pathology

Blood Bots

01/23/2023 | George Francis Lee | 3 min read

By leveraging the power of AI, computers can detect leukemia in blood samples – with human accuracy

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