DeepLab is a Greek SME specializing in Artificial Intelligence (AI) and deep learning for healthcare and life sciences. We collaborate with biomedical experts to deliver custom-developed machine learning solutions, adapted to each partner’s specific data, clinical workflows, regulatory context, and validation needs.
🧪 Production-Ready Platforms
DENVIS – Geometric deep learning for ultra-fast virtual screening (1B+ compounds, top-20 JEDI Grand Challenge)
ADMETrix – De novo molecular generation with real-time ADMET/toxicity prediction (first integration of REINVENT with ADMET AI; open-source release)
Clinical decision support systems (CDSS) and digital health analytics
Predictive modeling of disease onset and progression
Patient stratification & personalized medicine tools
Edge AI, mobile sensing, brain-computer interfaces
🏆 Track Record
Active EU projects:
– multilab-project.eu (4 years, AI/ML lead)
– Ocean Bioactives Discovery (AI/ML WP leader)
8+ years of industrial experience deploying large-scale ML pipelines processing billions of daily events
Joint R&D with major pharmaceutical companies
Over 15 years of academic research in ML, signal processing, and AI
🤝 Consortium Role
We participate as a technical partner, typically leading work packages in AI/ML, data analytics, predictive modeling, or decision support. As a Greek SME from a Widening Country, DeepLab contributes scientific and engineering excellence alongside geographic diversity.
Production-ready DENVIS & ADMETrix + custom multi-omics ML. 15+ years research meets industrial scale. Greek SME for NAMs & biomedicine.
Partner seeks Consortium/Coordinator
DESTINATION 6: HORIZON-HLTH-2026-01-IND-03: Regulatory science to support translational development of patient-centred health technologies
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
Custom ML/AI for clinical decision support & digital health. Research rigor meets startup agility. Interpretable ML for clinical trust.
Partner seeks Consortium/Coordinator
DESTINATION 4: HORIZON-HLTH-2026-01-CARE-03: Identifying and addressing low-value care in health and care systems
DESTINATION 1: HORIZON-HLTH-2026-01-STAYHLTH-02: Behavioural interventions as primary prevention for Non-Communicable Diseases (NCDs) among young people
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