VOLABIOS utilizes advanced technologies to transform early schizophrenia diagnosis while striving to uncover the molecular mechanics of the disease. It integrates Multi-Omics approaches—genomics, proteomics, metabolomics, and transcriptomics—to provide a comprehensive understanding of the molecular changes driving schizophrenia. Mobile spectrometry (volatolomics) analyzes volatile organic compounds emitted by the body, offering a non-invasive diagnostic method. Artificial intelligence further enhances this framework by analyzing complex datasets to uncover patterns, correlations, and underlying mechanisms. Together, these technologies enable precise and rapid identification of chemical and biochemical signals serving as biomarkers for schizophrenia, improving diagnostic accuracy, reducing timelines, and paving the way for earlier interventions, deeper disease understanding, and better patient outcomes.
Jan. 1, 2025 - June 8, 2029
8,000,000 €
HORIZON-HLTH-2024-DISEASE-03-13-two-stage
The project will progress in multiple stages, starting with a retrospective analysis of 9 million medical records, including 120,000 linked to schizophrenia. Following this, clinical research will involve 3,692 patients from six medical centers across Europe, with individuals being monitored frequently over a period of 18 to 36 months to assess longitudinal changes and validate findings. A blind study involving 1,000 participants will further validate biomarkers and assess their efficacy. The outcomes of VOLABIOS aim to improve global healthcare systems by introducing innovative diagnostic tools, establishing an open-access knowledge base, and supporting future research in diagnosing complex mental disorders.