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Development of a Cloud Platform for Advanced Diagnostics Based on Clinical and Omics Data.
Sponsor: Istituto Giannina Gaslini
Summary
This study aims to explore how information from different types of biological tests, such as genetic, protein, and fat-related analyses, can help doctors better identify and distinguish patients with systemic autoinflammatory diseases (SAIDs), including undifferentiated or complex forms of these conditions (uSAIDs and SAIDs), as well as fibromyalgia. The goal is to improve diagnosis and help identify the most appropriate treatments and care options for each patient. The study will also develop computer-based tools to identify important biological patterns in patients' medical records and laboratory results. These tools will help doctors interpret each patient's individual case and better understand their condition. Finally, the study will bring together biological test results, clinical information, and the findings from these analyses in a single, comprehensive health record. This record will have an easy-to-use interface designed to support patients' care teams. Its usefulness in everyday clinical practice will then be evaluated.
Official title: Development of a Cloud Platform for Advanced Diagnostics Based on Clinical and Omics Data - Sviluppo di Una Piattaforma Cloud Per la Diagnostica Avanzata Basata su Dati Clinico-omici
Key Details
Gender
All
Age Range
Any - 25 Years
Study Type
OBSERVATIONAL
Enrollment
73
Start Date
2025-03-12
Completion Date
2025-10-31
Last Updated
2026-10-22
Healthy Volunteers
No
Locations (3)
Engineering D.HUB (EDH)
Aosta, Italy
IRCCS Istituto Giannina Gaslini
Genova, Italy
Istituto Italiano di Tecnologia (IIT)
Genova, Italy