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

Published

January 1, 2021

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

Project updates