Awarded Projects

APEX – Artificial Intelligence for Policy Excellence in the Climate Crisis

Unravelling Immunosenescence from Single Cell and Spatial data

Charting territories: Refining case-cohort estimation and utilize register-based factors in genetic analyses

Early detection of epidemics in livestock and wildlife using deep learning

Specific gene regulation in space and time through oscillations and liquid-liquid phase separation

Mechanoreciprocity in in-silico biological matter

Data-adaptive targeted machine learning methods for analyzing dynamic treatment effects in observational healthcare data

New computational approaches for understanding the emergence of social network structures

SE3D: Synthetic health data: ethical development and deployment via deep learning approaches

Tensor Networks for Data Science: Stability, Efficiency and Explainability at Scale

Unravelling shared disease mechanisms of ADHD and obesity by large-scale multidimensional data analyses

Deep Fetal Development: AI for Fetal Development Analysis and Impact on Future Health of Mother and Child