AI technologies for interaction prediction in biomedicine
Description of the granted funding
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.
Show moreStarting year
2022
End year
2024
Granted funding
Funder
Research Council of Finland
Funding instrument
Targeted Academy projects
Other information
Funding decision number
345805
Fields of science
Computer and information sciences
Research fields
Tietojenkäsittelytieteet
Identified topics
bioinformatics