Project cooperationUpdated on 28 January 2026
AI for Climate-Health Modeling & Environmental Risk Prediction | Technical Partner | Greek SME
Founder / CSO at Deeplab IKE
Athens, Greece
About
ORGANIZATION: DeepLab (Greek SME) – AI/ML for Environmental Health & Public Health Analytics
WHO WE ARE:
DeepLab is a Greek SME developing custom AI solutions for climate-health prediction and environmental health analytics. We specialize in multi-source data fusion, time-series forecasting, and early warning systems—all with built-in interpretability for public health decision-making. 15+ years research, production-scale ML experience.
CORE CAPABILITIES:
- Multi-source data fusion (climate, epidemiological, socioeconomic, environmental)
- Time-series forecasting for health outcomes under climate scenarios
- Predictive modeling for heat-health, air quality-health, and disease risk
- Early warning system development with actionable public health triggers
- Interpretable models for policy-relevant decision support
- Custom model development adapted to regional data sources
EXPERTISE & APPROACH:
We bring deep-tech ML expertise in complex data fusion—not dashboard analytics. Published methodologies in interpretable risk prediction and multi-source integration. All solutions custom-developed for partner environmental-health requirements. Production-scale engineering experience ensures deployable systems.
TARGET CALLS:
- HORIZON-HLTH-2026-01-ENVHLTH-01 (Climate change health impacts) – PRIMARY FIT
- HORIZON-HLTH-2026-01-ENVHLTH-04 (Climate-resilient healthcare systems)
CONSORTIUM CONTRIBUTION:
Develop custom AI-powered early warning systems and health impact models. Build multi-source data fusion pipelines integrating climate and health data. Lead data analytics work packages. All solutions adapted to partner data sources and validation needs.
KEYWORDS:
climate health, environmental health, predictive modeling, early warning systems, data fusion, time-series forecasting, heat health, air quality, climate change, public health, interpretable ML, Greek SME
WHY US:
Deep-tech ML for complex multi-source fusion—we build the analytical engine, not just visualizations. Greece experiences severe climate impacts (heat waves, wildfires)—we understand Mediterranean challenges firsthand. Research rigor meets industrial deployment capability. Widening Country status benefits consortium.
SEEKING:
Climate-health research institutes with environmental and epidemiological data. Public health agencies with surveillance infrastructure. Climate modeling centers. Partners across European climate zones.
CONTACT: Persa Frantzi, Vassilis Pitsikalis; proposals@deeplab.ai, deeplab.ai
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
Type
- Partner seeks Consortium/Coordinator
Organisation
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Vassilis Pitsikalis
Founder / CSO at Deeplab IKE
Athens, Greece
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Vassilis Pitsikalis
Founder / CSO at Deeplab IKE
Athens, Greece
Project cooperation
HORIZON-HLTH-2026-01-ENVHLTH-01 (NCDs & individual safety).
- Partner seeks Consortium/Coordinator
- DESTINATION 2: HORIZON-HLTH-2026-01-ENVHLTH-01: Towards a better understanding and anticipation of the impacts of climate change on health
Susana Cristobal
Professor at Linköping University
Linköping, Sweden