INTEGRATED REGIONAL HUB BIOBANK — ANALYSIS — DATA AND ITS EXPERIMENTAL USE (Q4191400): Difference between revisions
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(Changed label, description and/or aliases in es, and other parts: Adding Spanish translations) |
(Changed label, description and/or aliases in en, and other parts: Adding English translations) |
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INTEGRATED REGIONAL HUB BIOBANK — ANALYSIS — DATA AND ITS EXPERIMENTAL USE | |||||||||||||||
| Property / summary | |||||||||||||||
HIBAD ADDRESSES TWO ISSUES OF CLINICAL RESEARCH OF CONSIDERABLE HEALTH, SOCIAL AND ECONOMIC IMPORTANCE, NEURODEVELOPMENT DISORDERS (DNS) AND THE CONDITION OF PREDIABETES, AGAINST WHICH THE DIAGNOSTIC INQUADRAMENT Ê TO DATE INADEQUATE DUE TO THE VARIABILITY OF THE CLINICAL FRAMEWORK AND THE CONSEQUENT DIFFICULTY IN IDENTIFYING LAPPROPRIATE THERAPEUTIC-REHABILITATIVE OR PREVENTIVE PATHWAY, IN ORDER TO GUARANTEE THE HEALTH, WELL-BEING AND PRODUCTIVITY OF THE SUBJECTS CONCERNED, REDUCE THE ASSOCIATED SOCIAL COSTS AND ENHANCE LEFFICACY AND EFFICIENCY OF THE HEALTH SYSTEM. IN THE PROJECT, TWO CLINICAL STUDIES WILL BE CARRIED OUT THAT REQUIRE LÂACQUISITION AND ELABORATION OF LARGE AMOUNTS OF MULTIMODAL DATA (CLINICAL, LABORATORY, BEHAVIORAL, GENOMIC, IMAGING AND MICROBIOTA DATA), THE DEVELOPMENT OF INNOVATIVE TOOLS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO HELP IN THE IDENTIFICATION OF NEW BIOMARKERS AND DIAGNOSTIC AND PROGNOSTIC CRITERIA, (English) | |||||||||||||||
| Property / summary: HIBAD ADDRESSES TWO ISSUES OF CLINICAL RESEARCH OF CONSIDERABLE HEALTH, SOCIAL AND ECONOMIC IMPORTANCE, NEURODEVELOPMENT DISORDERS (DNS) AND THE CONDITION OF PREDIABETES, AGAINST WHICH THE DIAGNOSTIC INQUADRAMENT Ê TO DATE INADEQUATE DUE TO THE VARIABILITY OF THE CLINICAL FRAMEWORK AND THE CONSEQUENT DIFFICULTY IN IDENTIFYING LAPPROPRIATE THERAPEUTIC-REHABILITATIVE OR PREVENTIVE PATHWAY, IN ORDER TO GUARANTEE THE HEALTH, WELL-BEING AND PRODUCTIVITY OF THE SUBJECTS CONCERNED, REDUCE THE ASSOCIATED SOCIAL COSTS AND ENHANCE LEFFICACY AND EFFICIENCY OF THE HEALTH SYSTEM. IN THE PROJECT, TWO CLINICAL STUDIES WILL BE CARRIED OUT THAT REQUIRE LÂACQUISITION AND ELABORATION OF LARGE AMOUNTS OF MULTIMODAL DATA (CLINICAL, LABORATORY, BEHAVIORAL, GENOMIC, IMAGING AND MICROBIOTA DATA), THE DEVELOPMENT OF INNOVATIVE TOOLS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO HELP IN THE IDENTIFICATION OF NEW BIOMARKERS AND DIAGNOSTIC AND PROGNOSTIC CRITERIA, (English) / rank | |||||||||||||||
Normal rank | |||||||||||||||
| Property / summary: HIBAD ADDRESSES TWO ISSUES OF CLINICAL RESEARCH OF CONSIDERABLE HEALTH, SOCIAL AND ECONOMIC IMPORTANCE, NEURODEVELOPMENT DISORDERS (DNS) AND THE CONDITION OF PREDIABETES, AGAINST WHICH THE DIAGNOSTIC INQUADRAMENT Ê TO DATE INADEQUATE DUE TO THE VARIABILITY OF THE CLINICAL FRAMEWORK AND THE CONSEQUENT DIFFICULTY IN IDENTIFYING LAPPROPRIATE THERAPEUTIC-REHABILITATIVE OR PREVENTIVE PATHWAY, IN ORDER TO GUARANTEE THE HEALTH, WELL-BEING AND PRODUCTIVITY OF THE SUBJECTS CONCERNED, REDUCE THE ASSOCIATED SOCIAL COSTS AND ENHANCE LEFFICACY AND EFFICIENCY OF THE HEALTH SYSTEM. IN THE PROJECT, TWO CLINICAL STUDIES WILL BE CARRIED OUT THAT REQUIRE LÂACQUISITION AND ELABORATION OF LARGE AMOUNTS OF MULTIMODAL DATA (CLINICAL, LABORATORY, BEHAVIORAL, GENOMIC, IMAGING AND MICROBIOTA DATA), THE DEVELOPMENT OF INNOVATIVE TOOLS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO HELP IN THE IDENTIFICATION OF NEW BIOMARKERS AND DIAGNOSTIC AND PROGNOSTIC CRITERIA, (English) / qualifier | |||||||||||||||
point in time: 31 January 2022
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Revision as of 17:04, 31 January 2022
Project Q4191400 in Italy
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | INTEGRATED REGIONAL HUB BIOBANK — ANALYSIS — DATA AND ITS EXPERIMENTAL USE |
Project Q4191400 in Italy |
Statements
1,281,922.0 Euro
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2,563,844.0 Euro
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50.0 percent
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DIABETES DIAGNOSTICS S.R.L.
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BIOREP S.R.L.
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ADVICE PHARMA GROUP S.R.L.
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ASSOCIAZIONE LA NOSTRA FAMIGLIA
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HIBAD AFFRONTA DUE TEMATICHE DI RICERCA CLINICA DI NOTEVOLE RILEVANZA SANITARIA, SOCIALE ED ECONOMICA, I DISTURBI DEL NEUROSVILUPPO (DNS) E LA CONDIZIONE DI PREDIABETE, A FRONTE DELLE QUALI LÂINQUADRAMENTO DIAGNOSTICO Ê AD OGGI INADEGUATO PER VIA DELLA VARIABILITà DEL QUADRO CLINICO E DELLA CONSEGUENTE DIFFICOLTà A IDENTIFICARE LÂAPPROPRIATO PERCORSO TERAPEUTICO-RIABILITATIVO O PREVENTIVO, AL FINE DI GARANTIRE LA SALUTE, IL BENESSERE E LA PRODUTTIVITà DEI SOGGETTI INTERESSATI, RIDURRE I COSTI SOCIALI ASSOCIATI E POTENZIARE LÂEFFICACIA E LÂEFFICIENZA DEL SISTEMA SANITARIO. NELLÂAMBITO DEL PROGETTO VERRANNO REALIZZATI DUE STUDI CLINICI CHE RICHIEDONO LÂACQUISIZIONE E LÂELABORAZIONE DI INGENTI QUANTITà DI DATI MULTIMODALI (CLINICI, DI LABORATORIO, COMPORTAMENTALI, GENOMICI, DI IMAGING E SUL MICROBIOTA), LO SVILUPPO DI STRUMENTI INNOVATIVI DI INTELLIGENZA ARTIFICIALE E MACHINE LEARNING PER AIUTARE NELLA IDENTIFICAZIONE DI NUOVI BIOMARCATORI E CRITERI DIAGNOSTICI E PROGNOSTICI, (Italian)
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HIBAD ABORDA DOS TEMAS DE INVESTIGACIÓN CLÍNICA DE CONSIDERABLE IMPORTANCIA SANITARIA, SOCIAL Y ECONÓMICA, TRASTORNOS DEL NEURODESARROLLO (DNS) Y EL ESTADO DE LA PREDIABETES, CONTRA LOS CUALES EL INQUADRAMENTO DIAGNÓSTICO HASTA LA FECHA INADECUADO DEBIDO A LA VARIABILIDAD DEL MARCO CLÍNICO Y LA CONSIGUIENTE DIFICULTAD PARA IDENTIFICAR LA VÍA TERAPÉUTICA-REHABILITATIVA O PREVENTIVA LAPPROPRIATE, CON EL FIN DE GARANTIZAR LA SALUD, EL BIENESTAR Y LA PRODUCTIVIDAD DE LOS SUJETOS AFECTADOS, REDUCIR LOS COSTOS SOCIALES ASOCIADOS Y MEJORAR LA LEFFICACIA Y LA EFICIENCIA DEL SISTEMA DE SALUD. EN EL PROYECTO SE LLEVARÁN A CABO DOS ESTUDIOS CLÍNICOS QUE REQUIEREN LACQUISICIÓN Y ELABORACIÓN DE GRANDES CANTIDADES DE DATOS MULTIMODALES (DATOS CLÍNICOS, DE LABORATORIO, CONDUCTUALES, GENÓMICOS, DE IMAGEN Y MICROBIOTA), EL DESARROLLO DE HERRAMIENTAS INNOVADORAS DE INTELIGENCIA ARTIFICIAL Y APRENDIZAJE AUTOMÁTICO PARA AYUDAR EN LA IDENTIFICACIÓN DE NUEVOS BIOMARCADORES Y CRITERIOS DIAGNÓSTICOS Y PRONÓSTICOS, (Spanish)
31 January 2022
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HIBAD ADDRESSES TWO ISSUES OF CLINICAL RESEARCH OF CONSIDERABLE HEALTH, SOCIAL AND ECONOMIC IMPORTANCE, NEURODEVELOPMENT DISORDERS (DNS) AND THE CONDITION OF PREDIABETES, AGAINST WHICH THE DIAGNOSTIC INQUADRAMENT Ê TO DATE INADEQUATE DUE TO THE VARIABILITY OF THE CLINICAL FRAMEWORK AND THE CONSEQUENT DIFFICULTY IN IDENTIFYING LAPPROPRIATE THERAPEUTIC-REHABILITATIVE OR PREVENTIVE PATHWAY, IN ORDER TO GUARANTEE THE HEALTH, WELL-BEING AND PRODUCTIVITY OF THE SUBJECTS CONCERNED, REDUCE THE ASSOCIATED SOCIAL COSTS AND ENHANCE LEFFICACY AND EFFICIENCY OF THE HEALTH SYSTEM. IN THE PROJECT, TWO CLINICAL STUDIES WILL BE CARRIED OUT THAT REQUIRE LÂACQUISITION AND ELABORATION OF LARGE AMOUNTS OF MULTIMODAL DATA (CLINICAL, LABORATORY, BEHAVIORAL, GENOMIC, IMAGING AND MICROBIOTA DATA), THE DEVELOPMENT OF INNOVATIVE TOOLS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TO HELP IN THE IDENTIFICATION OF NEW BIOMARKERS AND DIAGNOSTIC AND PROGNOSTIC CRITERIA, (English)
31 January 2022
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MILANO
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BOSISIO PARINI
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