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

Description of the granted funding

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.
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Starting year

2024

End year

2026

Granted funding

Harri Lähdesmäki
452 393 €

Funder

Research Council of Finland

Funding instrument

Targeted Academy projects

Decision maker

Scientific Council for Natural Sciences and Engineering
15.11.2023

Other information

Funding decision number

359135

Fields of science

Computer and information sciences

Research fields

Tietojenkäsittelytieteet

Identified topics

health care