AI technologies for interaction prediction in biomedicine

Bidragets beskrivning

This project develops new AI techniques for predicting interactions of objects. Such problems are prevalent in society, found in numerous applications, such as various link prediction problems in social networks, recommendation systems, and heathcare. The project will tackle several key challenges, including improving explainability, efficient use of resources, and reliability of the predictions. The technologies will be rigorously evaluated in practical applications in biomedicine.
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Startår

2022

Slutår

2024

Beviljade finansiering




Antti Airola Orcid -palvelun logo
199 996 €

Rollen i Finlands Akademis konsortium

Övriga parter i konsortiet

Partner
Helsingfors universitet (345803)
270 948 €
Partner
Åbo universitet (345804)
198 043 €
Leader
Aalto-universitetet (345802)
282 424 €

Finansiär

Finlands Akademi

Typ av finansiering

Akademiprojekt med särskild inriktning

Övriga uppgifter

Finansieringsbeslutets nummer

345805

Vetenskapsområden

Data- och informationsvetenskap

Forskningsområden

Tietojenkäsittelytieteet

Identifierade teman

bioinformatics