Updates from the Cellbytes team on the Cellbytes application, digital pathology and related research.
Machine learning integrates bone marrow and peripheral blood morphology to support interpretable patient-level cytomorphological diagnosis.
Two peer-reviewed studies using the Cellbytes platform show how bone marrow morphology predicts CML treatment response and eligibility for treatment-free remission.
With numerous blood cell classification tools on the market, choosing the right software comes down to two critical factors: model accuracy and daily operational efficiency.
How utilizing Evident’s high-precision slide scanner with Cellbytes’ cloud-based AI pathology software elevates AI-powered cytomorphology analysis.
How Cellbytes turns cell morphology into precise, reproducible digital data with a scanner-agnostic, clinically validated AI platform for hematology laboratories.
Introducing the official Cellbytes news, where we share updates on our digital pathology platform, research partnerships, and insights from the field.