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CompHematoPathology SIGNED

Computational Hematopathology for Improved Diagnostics

Total Cost €

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EC-Contrib. €

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Partnership

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 CompHematoPathology project word cloud

Explore the words cloud of the CompHematoPathology project. It provides you a very rough idea of what is the project "CompHematoPathology" about.

tools    digitized    deep    disease    intelligence    machine    annotated    dynamics    patients    schemes    identifying    precise    rare    pathologists    intuition    expertise    critically    algorithms    reproducible    automated    merges    expertly    computational    standardize    differentiation    throughput    pathology    power    blood    establishing    consuming    understand    interdisciplinary    hematopoietic    models    software    diagnosis    modeling    predict    me    treatment    rough    cytologists    diagnostic    time    diseases    human    manifestations    digital    clinical    combination    visual    day    images    scrutinizing    standardized    mathematical    unprecedented    hematopathology    cell    quantitatively    patient    heterogeneous    artificial    relies    subjective    malignancies    boost    health    depends    cells    interpretation    classification    model    unable    parametrize    slides    confronted    combine    staging    suffering    prevailing    clinician    data    hematologic    stem    image    tissue    learning    manual    standard    comhematopathology   

Project "CompHematoPathology" data sheet

The following table provides information about the project.

Coordinator
HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH 

Organization address
address: INGOLSTADTER LANDSTRASSE 1
city: NEUHERBERG
postcode: 85764
website: www.helmholtz-muenchen.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙981˙213 €
 EC max contribution 1˙981˙213 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-COG
 Funding Scheme ERC-COG
 Starting year 2020
 Duration (year-month-day) from 2020-06-01   to  2025-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH DE (NEUHERBERG) coordinator 1˙981˙213.00

Map

 Project objective

Identifying hematologic malignancies still relies on the time-consuming and subjective visual assessment of images. Every day, cytologists and pathologists are confronted with rare diagnostic cells, ever-increasing image data, and heterogeneous disease manifestations. Although we understand blood better than any other human tissue, we are unable to quantitatively predict a patient’s blood dynamics from a measurement. Diagnosis thus depends on rough staging schemes and the expertise and intuition of the clinician. In my proposal, I address these challenges by establishing computational hematopathology, a combination of artificial intelligence algorithms and mathematical models that will boost the currently prevailing manual assessment. Based on my experience in using these methods for scrutinizing stem cell differentiation I will combine the power of deep learning and mathematical modeling with digitized and expertly annotated image data. My unique approach enables me to design and parametrize a data-driven model to predict hematopoietic dynamics in health and disease. Since the interpretation of digitized slides is becoming the clinical standard, novel algorithms for standardized disease classification and improved diagnosis are critically needed now. This interdisciplinary project merges methods from digital pathology, machine learning, image processing, and mathematical modeling. ComHematoPathology will provide novel approaches and software tools for automated classification of hematopathology image data, allowing for reproducible and precise diagnosis at an unprecedented level. This will increase throughput and standardize the diagnosis of blood diseases and will thus improve the treatment of patients suffering from hematologic malignancies.

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The information about "COMPHEMATOPATHOLOGY" are provided by the European Opendata Portal: CORDIS opendata.

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