Building a European ecosystem for AI-driven precision medicine
Microb-AI-ome collaborates with Horizon Europe sister projects developing trustworthy, privacy-preserving and clinically applicable AI solutions for healthcare.
Collaborating for impact
By joining forces with related European initiatives, Microb-AI-ome aims to strengthen scientific exchange, increase visibility, and accelerate the development of innovative healthcare solutions.
Featured collaborations
These projects share common interests with Microb-AI-ome, including artificial intelligence, federated learning, patient stratification and precision medicine.
dAIbetes
dAIbetes uses artificial intelligence, federated learning and virtual twins to support personalised treatment strategies for type 2 diabetes while preserving patient privacy.
COMFORT
COMFORT develops AI-based decision support tools to improve patient stratification and treatment decisions in prostate and kidney cancer.
AI4LUNGS
AI4LUNGS develops AI-based personalised care solutions using multi-modal data to support diagnosis and treatment of complex lung conditions.
Other projects funded under the same call
Microb-AI-ome is part of a broader European research landscape exploring computational models for new patient stratification strategies.
Computational modelling for inherited metabolic diseases.
SPIDeRRPatient stratification using integrative modelling of rheumatic disease data.
CoMPaSS-NMDComputational models for neuromuscular disorder stratification.
STRATIF-AIDigital twins and AI for improved stroke prevention, treatment and rehabilitation.
PREPAREPersonalised rehabilitation through AI-based patient stratification strategies.
STRATA-FITComputational models for difficult-to-treat rheumatoid arthritis.
METASTRAFracture risk stratification for patients with vertebral metastases.
LEOPARDAI-based devices supporting liver health and clinical decision-making.
Together, advancing trustworthy AI in healthcare
Through collaboration with sister projects, Microb-AI-ome contributes to a wider European effort to make artificial intelligence in healthcare more transparent, clinically useful, privacy-preserving and patient-centred.
