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CLARITY-PD: Causal Links of Air Pollution, Pesticides and Heavy Metals in Parkinson's Disease
Last updated: · By Emoda Software
CLARITY-PD (Causal Links of Air Pollution, Pesticides, and Heavy Metals in Parkinson's Disease) is a Horizon Europe project that investigates the causal links between exposure to air pollution, pesticides and heavy metals and the onset and progression of Parkinson's disease. The project has been selected for funding by the European Commission in a highly competitive two-stage call. Emoda Software, the only partner from Türkiye in the 20-partner consortium, works on explainable causal AI, a clinical decision support system (CDSS) for clinicians and a mobile app for patients and citizens. The project starts on 1 January 2027 and runs for 60 months.
Project facts
| Project name | CLARITY-PD – Causal Links of Air Pollution, Pesticides, and Heavy Metals in Parkinson's Disease: Leveraging the Exposome Framework, Biomarker Discovery, AI-Driven Risk Models, and Sensor-Based Monitoring |
|---|---|
| Programme | Horizon Europe, Cluster 1 Health – The impact of pollution on the development and progression of brain diseases and disorders (HORIZON-HLTH-2025-03-ENVHLTH-01-two-stage) |
| Type of action | Research and Innovation Action (RIA) |
| Project no. | 101260974 |
| Status | Selected for funding by the European Commission |
| Duration | 1 January 2027 – 31 December 2031 (60 months) |
| Consortium | 20 partners |
| Partner from Türkiye | Emoda Software (the only partner from Türkiye) |
| Emoda's role | Leader of the precision prevention tools work package; explainable causal AI, clinical decision support system and citizen app |
What does CLARITY-PD investigate?
Genetics alone cannot explain why people develop Parkinson's disease, and environmental risk factors are drawing growing research attention. CLARITY-PD focuses on three groups of exposure:
- Air pollution
- Pesticides
- Heavy metals
The project aims to clarify the role of these exposures in the development and progression of Parkinson's disease and to generate concrete evidence on preventable risk factors. It combines biomarker discovery, AI-driven risk models and sensor-based exposure monitoring, and validates its findings in a prospective multi-country cohort.
What is the exposome?
The exposome is the sum of all environmental exposures a person experiences over a lifetime: air, water, food, chemicals and lifestyle. CLARITY-PD studies Parkinson's disease risk factors together within this exposome framework, rather than one at a time.
What will the project deliver?
- Evidence on the links between environmental exposure and Parkinson's disease
- AI models that predict personal risk and disease progression and can explain their reasoning
- A clinical decision support system for doctors
- A mobile app that helps citizens understand and reduce their environmental exposure
- Policy recommendations for prevention
Emoda's role
Emoda leads the project's precision prevention tools, governance, clinical utility and policy translation work package and turns research results into software that doctors and citizens can use. Its work covers:
- Clinical decision support system and citizen app: leading their development and clinical pilots
- Explainable causal AI: contribution to the risk models and their integration into the digital platform
- Data infrastructure: linking environmental exposure data to the project's data infrastructure
- Cohort study: preparing the digital tools and data flow used at the clinical sites
- Living Labs: turning user feedback into software improvements
- Contributions to project management, data management and dissemination
Emoda brings to the project its experience with the clinical decision support systems built in PERSIST and for acute poisoning, and with mobile health in LUCIA.
Who is it for?
- Neurologists and clinicians: to assess Parkinson's risk together with environmental exposure.
- Citizens and patients: to recognise and reduce preventable exposures.
- Researchers: for exposome, biomarker and AI research.
- Health policymakers: for evidence-based prevention policy.
Related services
- Clinical decision support system development
- Artificial intelligence solutions
- Mobile application development
Consortium
CLARITY-PD is carried out by a consortium of 20 partners. The partner list and project website will be added to this page once the project starts.
Funded by the European Union
CLARITY-PD (project no. 101260974) has been selected for funding under the European Union's Horizon Europe Research and Innovation Programme. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.
Frequently Asked Questions
What is the CLARITY-PD project?
CLARITY-PD is a Horizon Europe project that investigates the causal links between exposure to air pollution, pesticides and heavy metals and the onset and progression of Parkinson's disease. Selected for funding by the European Commission, it starts on 1 January 2027 and runs for 60 months.
Which organisation from Türkiye takes part in CLARITY-PD?
Emoda Software, an Izmir-based health software company, is the only partner from Türkiye in the 20-partner consortium.
What does Emoda do in CLARITY-PD?
Emoda leads the precision prevention tools work package. It develops the clinical decision support system for doctors and the mobile app for citizens, contributes to the explainable causal AI models and integrates them into the digital platform.
Do air pollution, pesticides and heavy metals increase the risk of Parkinson's disease?
Studies have linked these exposures to Parkinson's disease, but whether the links are causal, and how much each exposure contributes, is not yet clear. CLARITY-PD aims to produce evidence on exactly this question.
What is the exposome?
The exposome is the sum of all environmental exposures a person experiences over a lifetime: air, water, food, chemicals and lifestyle. CLARITY-PD studies Parkinson's disease risk factors together within this framework.
What is explainable AI?
Explainable AI does not just give a result; it also shows which factors led to it, so clinicians can see the reasoning behind a recommendation.
When does CLARITY-PD start?
The project starts on 1 January 2027 and ends on 31 December 2031 (60 months).
