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MDS Unpacked: Diverse Hematology With Dysplasia At The Core

Myelodysplastic syndrome (MDS) represents a complex group of clonal hematopoietic disorders 1 that continue to…
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What Is a Digital Cell Imaging System and How Does It Work?

The medical field continuously seeks innovative solutions to enhance diagnostic accuracy and efficiency. Yet the…
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Join Scopio Labs at Society of Hematologic Oncology (SOHO) 2024

Engaging in industry events is crucial for staying ahead in the rapidly evolving fields of…
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Digital Pathology: Benefits, Future Trends, and Beyond

Digitization is revolutionizing the field of pathology by leveraging advanced technologies to enhance the acquisition,…
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How Technology is Enhancing the Art of Diagnostic Hematology

In a recent webinar: "Making Science Out of Art, Digitization, and Context in Full Field Morphological Hematology", one of the world’s leading experts in hematology provided her perspective on the integration of digital blood sample review and expertise, presenting three fascinating case studies that illustrate how the art and science of diagnostic hematology can work together for the good of patients.
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BSH 2024: Five Key Takeaways Transforming Haematology

What are we most excited about from the BSH 2024 Conference? Here are some of the key takeaways  from the event’s discussions that we see reshaping hematology practices.
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You’ve Never Seen RBCs Like This Before

More reasons why Scopio’s digital peripheral blood smear application and its red blood cells AI Decision Support System is a game-changer.
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From Zero to Hero: Diagnosis to Prognosis

In the ever-changing field of hematology, the integration of Artificial Intelligence (AI) signifies an unprecedented…
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There is More to AI Than Meets the Eye

In the field of hematology, the incorporation of Artificial Intelligence (AI), Machine Learning (ML), and…
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Don’t Blur The Edges: Considering The Feathered Edge As A Crucial Aspect Of Accurate Reporting

In a world that demands meticulous attention to detail and accuracy, the speciality of hematology is certainly no exception. The accuracy of platelet (PLT) estimates from peripheral blood smears is essential for reliable reporting. Presence of PLT clumps can introduce uncertainty, compromising the reliability of numerical estimates generated by automated whole blood analyzers.  To address this, an effective system should be able to detect and identify PLT clumps with a sensitivity approaching 100%.
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Keeping our eye on AI in Hematology

In today’s world it is all eyes on AI with Artificial Intelligence having catapulted us into a new fast-paced reality. This tenet holds especially true within the healthcare setting, whereby this transformative force holds the golden promise of heightened diagnostic accuracy, reduced costs, and improved patient response times and treatment outcomes.
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