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Computational Hematopathology for Improved Diagnostics

Project description

Artificial intelligence is enhancing the interpretation of digital slides

Haematological malignancies, such as leukaemia and lymphoma, affect millions of adults and children every year, often with lethal consequences. Diagnosis relies on cellular abnormalities, and cytologists are specially trained to detect diseases from the single cell composition of blood, bone marrow and lymphoid tissues. After 150 years of research into blood diseases, clinicians still rely on their eyes for interpretation of the histopathology slides. The EU-funded CompHematoPathology project is bringing the power of artificial intelligence and mathematical modelling to the diagnoses of haematological malignancies. Using these tools and expertly annotated image data, CompHematoPathology plans to develop a data-driven model to predict blood dynamics in health and disease. It promises to enhance throughput, improve diagnoses and ultimately improve the treatment of patients with haematological malignancies.

Host institution

HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
Net EU contribution
€ 1 981 213,00
Address
Ingolstadter Landstrasse 1
85764 Neuherberg
Germany

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Region
Bayern Oberbayern München, Landkreis
Activity type
Research Organisations
Non-EU contribution
€ 0,00

Beneficiaries (1)

HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH
Germany
Net EU contribution
€ 1 981 213,00
Address
Ingolstadter Landstrasse 1
85764 Neuherberg

See on map

Region
Bayern Oberbayern München, Landkreis
Activity type
Research Organisations
Non-EU contribution
€ 0,00