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

Pioneer Centre for AI

ALFADIAB – Algorithmic Fairness in Diabetes Prediction

Integration of longitudinal multimodal data in clinical risk prediction using deep learning

Optimizing medical decision making: advancing and refining estimation and evaluation of personalized treatment rules

Bayesian neural networks for molecular discovery

A simulation and inference toolbox for spatio-temporal genome evolution

GolgiNet: Data science to take glycomics in silico and beyond

DEVELOP: Using data science to estimate overdiagnosis and mortality reduction in cancer screening programs

Cognitive spaces – Next generation explainability

AgroEco-HPM: A high-performance data-driven agroecosystem modelling platform for developing agricultural systems with minimum environmental impact

Biomedical Data Infrastructure (BDI) for health research: National Neurophysiologic Database (NND)

A high-performance computing infrastructure for data-driven research on sustainable energy materials

Data Science Research Infrastructure In Radiotherapy

MOPITAS – Multi-omics profiling in time and space

Reading the Reader

CAZAI: CAZyme Specificity Prediction Using AI

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

Machine learning methods for data-driven discovery of antibiotic resistance plasmid dissemination and evolution

Center for Basic Machine Learning Research in Life Science

National Health Data Science Sandbox for Training and Research

The OpenNeuroPET Archive – A Molecular Neuroimaging Archive

Data science approaches to study epidemiological and genetic underpinnings of hypothyroidism to pave the way for precision medicine

Differentiable Physical Models for Data Analysis in Biology

Leveraging artificial intelligence for pancreatic cancer diagnosis, treatment planning and treatment outcome prediction

Ancient Genomes Reconstruction

Identifying Heterogeneous Treatment Effects with Machine Learning

Scalable Optimization for Data Science

CLUE: Causal Learning with Unstructured Events

Statistical inference for coupled stochastic processes with multiple timescales and changing environments

The Danish Multigeneration Register

Synthetic Health and Research Data (SHARED)

Big Data Centre for Environment and Health

Big life-course data analytics for understanding disease initiation and progression in diabetes and its complications

Harnessing the Power of Big Data to Address the Societal Challenge of Aging