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OPADE

Financiado

Cerrado

Optimise and predict antidepressant efficacy for patient with major depressive d...

Optimise and predict antidepressant efficacy for patient with major depressive disorders using multi-omics analysis and AI-predictive tool 280M of people worldwide suffers from major depressive disorders (MDD). Although a well-populated therapeutic landscape of anti-depre280M of people worldwide suffers from major depressive disorders (MDD). Although a well-populated... ver más

31/05/2027

EUROPEAN BIOMEDICA...

10M€

Presupuesto del proyecto: 10M€

Líder del proyecto

FONDAZIONE EBRIS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-12-01

HORIZON-HLTH-2022-TOOL-11-01: Optimising effectiveness in patient... ExpectedOutcome:This topic aims at supporting activities that are enabling or contributing to one or...

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EUROPEAN BIOMEDICAL RESEARCH...

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Duración del proyecto: 53 meses Fecha Inicio: 2022-12-01
Fecha Fin: 2027-05-31

Líder del proyecto

FONDAZIONE EBRIS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 10M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 280M of people worldwide suffers from major depressive disorders (MDD). Although a well-populated therapeutic landscape of anti-depre280M of people worldwide suffers from major depressive disorders (MDD). Although a well-populated therapeutic landscape of anti-depressants, the number of patients in remission is particularly low with not more than 6% of the patients who benefit from the current therapeutic journey. OPADE objective is to identify key biomarkers that support the decision-making process of the healthcare providers.The project focuses on the microbiota – brain -axis which plays a major role in mental health and in particular MDD. Through clinical investigations, the consortium partners will study the combination between genetics, epigenetics, microbiome and inflammatory networks to: -Establish patient profiles to predict and optimise the efficacy of the antidepressants prescribed with an increase in the remission rate and reduction of impairment of real-life functioning, -Establish the possible correlation between neuroinflammatory indices, target indicators of the microbiome, metabolomics, immune-profile linked, epigenomic, enzymatic algorithms,-Evaluate molecular and non-molecular biomarkers that may represent predictive indices of recurrence-Discover new molecular targets for a personalised approach,-Improve the diagnostic accuracy for primary prevention,-Evaluate retrospectively, using accurate anamnesis, the onset of depressive symptoms in adolescence.-Establish how much and to what extent do blood biomarkers correlate with other specific biomarkers350 patients between 14 and 50 years will be recruited in 6 EU and international countries for 24 months. Real-time EEG and patient cognitive assessment will be collected with blood, stool and saliva samples. Results and analysis will be used to train the AI / ML predictive tool, the main outcome of the project. A patient empowerment tool will be deployed over the project duration.

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