Project cooperationUpdated on 23 January 2026
DathaSuite: software for interpretable data analysis and multi-omics integration
CEO at Datharsis
Granada, Spain
About
Datharsis develops brand-new computational statistics, algorithms, and visualizations integrated into advanced software solutions (DathaSuite). Our software is specifically designed to address the "black box" problem in predictive modeling, providing transparent and explainable systems that are essential for regulatory validation and clinical confidence.
We offer a complete technological solution for the management of complex and heterogeneous datasets, including the integration of multi-omics, imaging, and clinical records. Our software tools are built for scalability, allowing the analysis of any cohort size while maintaining maximum precision. Researchers can use DathaSuite for early-signal detection, feature prioritization, and the creation of Decision Support Systems (DSS). Every tool we deliver is focused on reproducibility, ensuring that your data exploration leads to auditable and scientifically sound conclusions
Topic
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-01: Towards a better understanding and anticipation of the impacts of climate change on health
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-04: Towards climate resilient, prepared and carbon neutral populations and healthcare systems
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-02: Innovative interventions to prevent the harmful effects of using digital technologies on the mental health of children and young adults
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
Type
- Partner seeks Consortium/Coordinator
Similar opportunities
Project cooperation
Bespoke data analysis solutions
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-04: Towards climate resilient, prepared and carbon neutral populations and healthcare systems
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-01: Towards a better understanding and anticipation of the impacts of climate change on health
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-02: Innovative interventions to prevent the harmful effects of using digital technologies on the mental health of children and young adults
José Camacho Páez
Full Professor at Computational Data Science Laboratory at University of Granada
Granada, Spain
Project cooperation
Strategic data interpretation and statistical support
- Partner seeks Consortium/Coordinator
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-04: Towards climate resilient, prepared and carbon neutral populations and healthcare systems
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-01: Towards a better understanding and anticipation of the impacts of climate change on health
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-02: Innovative interventions to prevent the harmful effects of using digital technologies on the mental health of children and young adults
Rosa de Molina
CEO at Datharsis
Granada, Spain
Project cooperation
Patient Stratification and Biomarker Discovery
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-04: Towards climate resilient, prepared and carbon neutral populations and healthcare systems
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-01: Towards a better understanding and anticipation of the impacts of climate change on health
- DESTINATION 5: HORIZON-HLTH-2026-01-TOOL-03: Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-03: Advancing research on the prevention, diagnosis, and management of post-infection long-term conditions
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-11: Understanding of sex and/or gender-specific mechanisms of cardiovascular diseases: determinants, risk factors and pathways
- DESTINATION 3: HORIZON-HLTH-2026-01-DISEASE-02: Innovative interventions to prevent the harmful effects of using digital technologies on the mental health of children and young adults
José Camacho Páez
Full Professor at Computational Data Science Laboratory at University of Granada
Granada, Spain