aiHealthLab - The Laboratory of Artificial Intelligence in Health
Our vision is to develop integrated intelligence for diagnostics and therapeutics.
Our group's overall research focuses in the emerging field of artificial intelligence applied to health. Artificial intelligence represents methods to process large amounts of data and recognize the patterns within. Health data is generated from a variety of sources and comprises molecular profiles, medical records, digital biomarkers and social media activity.
The mission of our group is to apply artificial intelligence in order to set standards, understand mechanisms and guide decisions in healthcare. Health data is generated in-house or is obtained through collaborations with pharmaceutical companies and hospitals. Our group uses analytics for personalized medicine, drug discovery and development, and support systems in clinics.
The applied projects and research of the aiHealthLab are structured around questions regarding biomedical data and analytics.
Produced in-house and accessed through collaborations with hospitals and pharmaceutical industries.
Informatics and data science are used for:
- pre-processing, benchmarking of bioinformatic tools and reproducibility analysis,
- development of algorithms and analysis using graph analysis, machine learning and deep learning,
- integrated software development for real-world data and metadata, clinical decision systems and drug discovery.
Pre-processing
Algorithms
Integration