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.
Fields of science
- medical and health sciencesmedical biotechnologycells technologiesstem cells
- medical and health sciencesbasic medicinepathology
- medical and health sciencesclinical medicinehematology
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
- natural sciencesmathematicsapplied mathematicsmathematical model
Programme(s)
Funding Scheme
ERC-COG - Consolidator GrantHost institution
85764 Neuherberg
Germany
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Beneficiaries (1)
85764 Neuherberg
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