HORIZON-HLTH-2027-01-ENVHLTH-02 Collaboration Offer

As Doğuş Teknoloji, we can contribute to the project by leveraging our expertise in AI/ML to support the analysis of combined health, environmental and climate-related data. Our contribution focuses on understanding how climate-related exposures influence disease risk and on generating evidence that can support risk assessment and decision-making within the scope of environmental health research.

·       Develop AI/ML models to analyse integrated health and environmental datasets, including climate-related variables.

·       Assess the impact of climate-related factors (e.g. temperature extremes, air quality, environmental exposures) on disease risk.

·       Support the identification of population groups that are more vulnerable to climate-related health risks through data-driven risk stratification.

We can satisfy the below scope/outcomes of the call:

-          Predict, identify and monitor changes in the exposome (including environmental and social exposures) due to climate-related pressures and study the health implications of said changes to identify emerging health risks and potential benefits of climate change.

-          Researchers, policymakers, healthcare practitioners and the public have a more comprehensive understanding of the human exposome and the interactions between climatic, environmental and socio-behavioural factors, supported by FAIR data linking these exposures to disease and health outcomes.