BIOMARKERS FOR DIAGNOSIS AND TREATMENT OF ENDOCRINE HYPERTENSION, AND METHODS OF IDENTIFICATION THEREOF
The disclosed invention relates to a method for identifying biomarkers for the stratification of hypertensive patients among different hypertension diseases: endocrine forms of hypertension and primary hypertension. The method is a machine-learning based method using one trained classifier on a predefined input dataset to rank several combinations of omics biomarkers (miRNA, steroids, metanephrines, small metabolites) on the basis of the computation of at least one evaluation parameter. A combination of biomarkers is selected to stratify the hypertensive patient among said plurality of hypertension diseases. Also, the disclosed invention relates to a method for stratifying hypertensive patients, such as hypertensive patients with endocrine forms of hypertension (EHT). The method comprises operating a trained classifier on a combination of biomarkers determined from the hypertensive patient to stratify the hypertensive patient among several types of hypertensive patients such as endocrine forms of hypertension and primary hypertension..
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Patent| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Europäisches Patentamt - (2024) vom: 08. Feb. Zur Gesamtaufnahme - year:2024 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
ZENNARO MARIA-CHRISTINA [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
Sonstige Themen: |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2024-02-08, Last update posted on www.tib.eu: 2024-02-28, Last updated: 2024-03-08 |
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| Patentnummer: |
US2024047065 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA019246668 |
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| 520 | |a The disclosed invention relates to a method for identifying biomarkers for the stratification of hypertensive patients among different hypertension diseases: endocrine forms of hypertension and primary hypertension. The method is a machine-learning based method using one trained classifier on a predefined input dataset to rank several combinations of omics biomarkers (miRNA, steroids, metanephrines, small metabolites) on the basis of the computation of at least one evaluation parameter. A combination of biomarkers is selected to stratify the hypertensive patient among said plurality of hypertension diseases. Also, the disclosed invention relates to a method for stratifying hypertensive patients, such as hypertensive patients with endocrine forms of hypertension (EHT). The method comprises operating a trained classifier on a combination of biomarkers determined from the hypertensive patient to stratify the hypertensive patient among several types of hypertensive patients such as endocrine forms of hypertension and primary hypertension. | ||
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