We turn biomedical literature into executable predictive models, bringing scientific discoveries to biological and medical datasets. Given a task and a data dictionary, our flagship product, MedAI, automatically extracts and harmonises quantitative evidence, generates predictive models and risk scores, and adapts them to specific datasets without accessing the underlying patient data. This enables rapid deployment, validation, and enhancement of evidence-based prediction for risk stratification, prognosis, trial enrichment, and beyond.
Our mission is to bring every scientific discovery to every dataset for every solution developer and every patient.
The project will integrate multimodal clinical and real-world data with quantitative knowlege automatically extracted and harmonised from scientific publications to improve biomarker discovery, validation, and personalised treatment.
Consortium/Coordinator seeks Partners
Partner seeks Consortium/Coordinator
Destination 5: HORIZON-HLTH-2027-02-TOOL-01-two-stage: Development of predictive biomarkers of disease progression and treatment response by using AI methodologies for chronic non-communicable diseases
The project will transform quantitative evidence automatically extracted from literature into locally executable models linked to clinical data to enable prognostic and predictive enrichment of clinical trials in neurodegenerative diseases.
Consortium/Coordinator seeks Partners
Partner seeks Consortium/Coordinator
Destination 3: HORIZON-HLTH-2027-02-DISEASE-14-two-stage: Clinical trials for advancing innovative interventions for neurodegenerative