Nutrigenomics Disease Prevention Platform
Key Expertise
Experience
8+ years
Timezone
CET (UTC +1)
Skills
AI / ML
Languages
Databases
Infrastructure
Frameworks
Overview
The project involved developing a scientific and analytical framework for disease prevention based on nutrigenomics, integrating genetic, biochemical, lifestyle, and biobank data. The solution aimed to generate personalized health recommendations and identify disease risks through combined bioinformatics, predictive analytics, and healthcare data science methods.
Achievements
Led research integrating genomic, lifestyle, and biochemical data into personalized disease prevention workflows. Built analytical approaches for identifying genetic associations with disease risk and improving specificity of health recommendations through multimodal data integration. Delivered visualizations and research outputs for scientific and stakeholder communication.
Responsibilities
- Led scientific research in nutrigenomics and disease prevention.
- Analyzed genetic and genomic data to identify disease associations and health risk indicators.
- Integrated DNA, genotype, SNP, biomarker, lifestyle, and biobank data for personalized recommendations.
- Performed predictive analytics, anomaly detection, and data mining on biomedical datasets.
- Generated scientific visualizations and reports for research and presentation purposes.
- Conducted homology searching and bioinformatics-driven interpretation of genomic information.
Technologies Used
Key Expertise
Experience
8+ years
Timezone
CET (UTC +1)
Skills
AI / ML
Languages
Databases
Infrastructure
Frameworks
This project was delivered by
Oleksandra K.
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