Trustworthy AI-assisted phenotyping, prediction and treatment design using large-scale health data

Bidragets beskrivning

Increasingly large health datasets provide health information at unprecedented scale and details. AI and machine learning hold a great promise to utilize these datasets for improved human health. It is expected that AI techniques will help transforming the general healthcare, where essentially all individuals are treated the same way, into a modern healthcare where each patient receives the treatment that is best for his or her health. Trustworthy, secure and privacy-preserving machine learning methods developed in this project contribute directly towards that goal. We expect to build general AI tools that can be applied across majority of diseases and datasets.
Visa mer

Startår

2024

Slutår

2026

Beviljade finansiering

Harri Lähdesmäki
452 393 €

Finansiär

Finlands Akademi

Typ av finansiering

Akademiprojekt med särskild inriktning

Beslutfattare

Forskningsrådet för naturvetenskap och teknik
15.11.2023

Övriga uppgifter

Finansieringsbeslutets nummer

359135

Vetenskapsområden

Data- och informationsvetenskap

Forskningsområden

Tietojenkäsittelytieteet

Identifierade teman

health care