Unleashing the power of Artificial Intelligence

GenoMed4All goes beyond the state-of-the-art to diagnose, treat and predict haematological diseases by adopting groundbreaking and trustworthy AI algorithms. Our precision medicine model will feature Federated Learning and High-Performance Computing (HPC) to become more reliable when simulating and predicting patterns that might reveal weaknesses and risks.

The massive connection of -omics and clinical data repositories across Europe offers:

More accurate Deep Neural Networks regression and classification models

Explicit features extraction using advanced generative models such as Variational Autoencoders and Generative Adversarial Networks

Optimal fusion architectures using heterogeneous data as a combination of feedforward, convolutional and recurrent networks

An open source data hub for haematological diseases

The project will build a large-scale distributed repository of -omics health data across Europe, including: Electronic Health Record, PET, MRI and CT, Next Generation Sequencing, Microarray, Genome-Wide Association, Copy Number Variations, DNA and RNA sequencing. This scheme will enable the aggregation of a high number of repositories that are currently dispersed and non-homogenised while respecting the patient's rights

Our core principles


INNOVATION

Using Graph Neural Networks to distributedly train deep learning algorithms

INTEROPERABILITY

Enabling collaborative, cross-border data sharing that is standard-compliant

TRUST

Offering security and privacy by design in all data exchanges, model training and storage

SCALABILITY

Using containerization to build modularity and facilitate massive replicability

What are we aiming for?

86+

Clinical repositories with genomics data connected across 15 EU countries

15%

Accuracy improvement in specific genomic markers for prognosis and treatment

80%

Increase in the adoption of open standards for -omics data per clinical site

20%

Time reduction in AI analysis and model training through Supercomputing


Exploring new models in genomics for personalised medicine

GenoMed4All will deploy 'white box' AI models in 3 real-world pilots, improving the diagnosis and prognosis capacity, evaluating treatment options and patient response. The pilots will cover common and rare oncological (Myelodysplastic syndromes and Multiple Myeloma) and non-oncological (Sickle Cell Disease) haematological diseases

AI- based services for clinical support


DIAGNOSIS

AI algorithms for early identification of high-risk individuals

PROGNOSIS

Prediction algorithms for insights on disease development

TREATMENT

Clinical algorithms to aid decision-making in risk stratification of personalized therapies

DISCOVER OUR PILOTS

The EU dimension

Transforming Health and Care in the Digital Single Market


EU policies on eHealth aim to create a European health data space to foster targeted research, diagnosis and treatment, ensure access to safe and top quality digital services in healthcare and pave the way towards a healthier society.

Priorities


ENABLING

Secure access to citizen’s health data across the EU

BUILDING

A shared EU data infrastructure for precision medicine

EMPOWERING

Citizens with digital tools for feedback and person-centred care

The European Open Science Cloud (EOSC)

A part of the European data strategy, the EOSC is an environment for hosting and processing research data to enable a new paradigm of transparent, data-driven science and accelerate innovation in the EU. It is a trusted digital platform for the scientific community, providing seamless access to data and interoperable services that address the whole research data cycle, from discovery and mining to storage, management, analysis and re-use across borders and scientific disciplines.