Early Detection and Diagnosis of Sleep Disorders and Comorbidities through Integrated Risk Prediction

Bidragets beskrivning

Sleep disorders like narcolepsy and sleep apnea are common but often underdiagnosed diseases. One reason is that symptoms such as fatigue, poor sleep, and trouble concentrating can be caused by many different conditions including heart problems, or neurological diseases. Our project aims to use data from genetics, health records, and sleep tests to build new tools that predict who is at risk and which condition they may have. We use data from the entire Finnish population and advanced machine learning to better understand the biological differences between sleep disorders and between sleep and other diseases. This project will help healthcare providers identify the right diagnosis earlier, leading to faster, more accurate treatment.
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Startår

2026

Slutår

2029

Beviljade finansiering

Markus Ramste Orcid -palvelun logo
308 736 €



Rollen i Finlands Akademis konsortium

Partner

Övriga parter i konsortiet

Partner
Helsingfors universitet (373335)
381 315 €
Leader
Helsingfors universitetssjukhus (373334)
299 806 €

Finansiär

Finlands Akademi

Typ av finansiering

Akademiprojekt med särskild inriktning

Beslutfattare

Suomen akatemian muu päättäjä
05.12.2025

Övriga uppgifter

Finansieringsbeslutets nummer

373336

Forskningsområden

Kliiniset lääketieteet

Identifierade teman

public health, occupational health