Machine Learning in Healthcare
Large language models improve transferability of electronic health record-based predictions across countries and coding systems
2024, FIMM, DSGE Lab
Collaboration with Matthias Kirchler (HPI, Germany)
Status: Paper under review
Script: GitHub
Publication: MedRxiv (Pre-print)
Presentations
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Large language models improve transferability of electronic health record-based predictions across countries and coding systems
AI Day 2025, Helsinki, Finland
Also presented at: FIMM Scientific Coffee Break 2025; DocPop Workshop 2025
A graph neural network approach for disease prediction based on a nationwide pedigree
2023-2024, FIMM, DSGE Lab
Status: Project discontinued
Presentations
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High-throughput analysis on family pedigree data in the FinRegistry project
CECDG Day 2024, Helsinki, Finland -
A graph neural network approach for disease prediction based on a nationwide pedigree in over 6 Million individuals with extensive health information
ASHG conference 2023, Washington D.C, USA
Medication prescription and Purchase behaviour
Clinical and genetic characterization of non-optimal triptan response among migraine patients
2024, FIMM, DSGE Lab
Collaboration with Ettore Brenna (University of Milano-Bicocca, Italy)
Status: Paper under review
Script: GitHub
Do doctors that use a medication prescribe it more often?
2025, FIMM, DSGE Lab, PhD project
Collaboration with Jakob German (DSGE Lab)
Status: Ongoing
Script: GitHub
Also Contributed to:
Large Scale Health Data
Finregistry, detailed longitudinal script 2.0
2024, FIMM, DSGE Lab
Collaboration with Essi Viippola (DSGE Lab)
Status: Completed
Script: GitHub