Intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases (2021-2024)

This project will create intelligent systems for personalized and precise risk prediction and diagnosis of non-communicable diseases using multi-omics data, by developing, implementing and validating novel algorithms for structure learning and inference in large-scale, multi-organ causal Bayesian gene networks, based on computational methods that we have developed previously to infer, characterize and validate gene regulatory networks in complex diseases.

More information can be found in the NFR project bank.

Group members involved

• Sean Bankier (postdoc, 2021-2024)
• Gutama Ibrahim (PhD student, 2022-2024)
• Mariyam Khan (PhD student, 2021-2023)

Project partners

• Pekka Parviainen
• Anagha Joshi
• Rolv Terje Lie
• Grethe Seppola Tell
• Pieter Audenaert
• Johan Björkegren
• Valur Emilsson

Project updates