INTEGRATED REGIONAL HUB BIOBANK — ANALYSIS — DATA AND ITS EXPERIMENTAL USE (Q4191400)

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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

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    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 L’INQUADRAMENTO DIAGNOSTICO Ê AD OGGI INADEGUATO PER VIA DELLA VARIABILITà DEL QUADRO CLINICO E DELLA CONSEGUENTE DIFFICOLTà A IDENTIFICARE L’APPROPRIATO 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 L’EFFICACIA E L’EFFICIENZA DEL SISTEMA SANITARIO. NELL’AMBITO DEL PROGETTO VERRANNO REALIZZATI DUE STUDI CLINICI CHE RICHIEDONO L’ACQUISIZIONE E L’ELABORAZIONE 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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    HIBAD ABORDE DEUX QUESTIONS DE RECHERCHE CLINIQUE D’IMPORTANCE SANITAIRE, SOCIALE ET ÉCONOMIQUE CONSIDÉRABLE, LES TROUBLES DU NEURODÉVELOPPEMENT (DNS) ET L’ÉTAT DU PRÉDIABÈTE, CONTRE LESQUELS L’INQUADRAMENT DIAGNOSTIQUE À CE JOUR INSUFFISANT EN RAISON DE LA VARIABILITÉ DU CADRE CLINIQUE ET DE LA DIFFICULTÉ CONSÉQUENTE À IDENTIFIER LA VOIE THÉRAPEUTIQUE-RÉHABILITATION OU PRÉVENTIVE LAPPROPRIATE, AFIN DE GARANTIR LA SANTÉ, LE BIEN-ÊTRE ET LA PRODUCTIVITÉ DES SUJETS CONCERNÉS, DE RÉDUIRE LES COÛTS SOCIAUX ASSOCIÉS ET D’AMÉLIORER LA LEFFICACIE ET L’EFFICACITÉ DU SYSTÈME DE SANTÉ. DANS LE CADRE DU PROJET, DEUX ÉTUDES CLINIQUES QUI NÉCESSITENT LA LACQUISITION ET L’ÉLABORATION DE GRANDES QUANTITÉS DE DONNÉES MULTIMODALES (CLINIQUES, DE LABORATOIRE, COMPORTEMENTALES, GÉNOMIQUES, IMAGERIE ET MICROBIOTES), LE DÉVELOPPEMENT D’OUTILS INNOVANTS D’INTELLIGENCE ARTIFICIELLE ET D’APPRENTISSAGE AUTOMATIQUE POUR AIDER À IDENTIFIER DE NOUVEAUX BIOMARQUEURS ET DES CRITÈRES DIAGNOSTIQUES ET PRONOSTIQUES, SERONT RÉALISÉES, (French)
    2 February 2022
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    MILANO
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    BOSISIO PARINI
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    Identifiers