Awarded Projects

The Danish Data Science Academy

Providentia: Privacy-driven Trust in Algorithms

Novel methods to model mutational processes in germline and cancer

First principal models, neural networks and functional graphical models for Defining metabolic capacity as a Tool for Personalized nutrition (FOODTOP)

Enhancing statistical methodology for toxicophenomics: High-throughput and high-dimensional data for ecotoxicological risk assessment

Islet Cartography – Multi-layered mapping of islets of Langerhans in health and disease

Efficient, high-resolution approaches for integrative sequencing analysis of complex diseases

CausalBiome: Developing a unified statistical framework for analyzing microbiome data

QUAITOM – The Infrastructure for QUantitative AI-based TOMography

Risk-assessment of Vector-borne Diseases Based on Deep Learning and Remote Sensing

DIRECTION – Data science driven leaf architecture optimization

CRISPRnet: Deep learning and data-driven CRISPR design for network-based multiplexed targeting

A framework for an open and scalable infrastructure for health data exemplified by the DD2 initiative

Mutational processes in spermatogenesis and their consequences for human health

Personalized medicine infrastructure using the open-source OMOP common data model including an Electronic Health Record interface

Novo Nordisk Foundation Center For Genomic Mechanisms of Disease at Broad Institute