Algorithms for evaluation and interpretation of amyloid plaque examination using positron emission tomography (PET) in the elderly population at risk of Alzheimer’s disease (Q67678): Difference between revisions
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(Removed claim: financed by (P890): Directorate-General for Regional and Urban Policy (Q8361), Removing unnecessary financed by statement) |
(Changed label, description and/or aliases in fr: translated_label) |
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Algorithmes pour l’évaluation et l’interprétation du test de plaque amyloïde à l’aide de la tomographie par émission de positrons (TEP) chez les personnes âgées à risque de maladie d’Alzheimer | |||
Revision as of 00:20, 29 November 2021
Project Q67678 in Czech Republic
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Algorithms for evaluation and interpretation of amyloid plaque examination using positron emission tomography (PET) in the elderly population at risk of Alzheimer’s disease |
Project Q67678 in Czech Republic |
Statements
3,058,540.0 Czech koruna
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6,117,080.0 Czech koruna
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50 percent
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1 April 2017
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31 December 2018
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31 December 2018
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Fakultní nemocnice v Motole
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50°4'6.6"N, 14°23'8.5"E
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15000
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Projekt se zabývá aktivitami vedoucími ke komercializaci výsledků výzkumu pomocí ověření proveditelnosti a komerčního potenciálu a přípravou jejich zavedení do praxe. V oblasti zdravotnictví komercionalizuje výzkum nových metod hodnocení a interpretace vyšetření amyloidových plaků pomocí pozitronové emisní tomografie u seniorské populace s rizikem Alzheimerovy choroby. Cílem projektu je úvést do praxe unikátní diagnostický SW, který umožní lepší prevenci této choroby. (Czech)
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The project deals with activities leading to the commercialisation of research results by verifying feasibility and commercial potential and preparing their implementation. In the field of health, research into new methods of evaluation and interpretation of amyloid plaque examinations using positron emission tomography in the elderly population at risk of Alzheimer’s disease is commercialised. The aim of the project is to put into practice unique diagnostic SW, which will enable better prevention of this disease. (English)
23 October 2020
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Identifiers
CZ.07.1.02/0.0/0.0/16_023/0000116
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