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Project cooperationUpdated on 27 October 2026

AI-Based Biomedical Knowledge Extraction for Target and Mechanism Discovery

Group Leader at Fondazione The Microsoft Research -University of Trento Centre for Computational and Systems Biology

Rovereto, Italy

About

COSBI uses biomedical natural language processing to extract structured and traceable knowledge from scientific literature, clinical-trial sources and selected databases. Our workflows identify and normalize genes, variants, diseases, drugs, chemicals, pathways, biomarkers and mechanistic relationships, then organize the evidence into decision-ready knowledge assets. Applications include target discovery, mechanism elucidation, causal evidence mapping, competitive intelligence and hypothesis generation. Deliverables can include curated evidence tables, mechanism maps, ranked target shortlists, structured knowledge bases and interactive network visualizations or dashboards, with links to the underlying sources. We are looking for R&D teams that need to scale evidence synthesis beyond manual review while preserving biological interpretation and traceability.

Topic

  • Destination 2: HORIZON-HLTH-2027-01-ENVHLTH-02: Integrating climate-related exposures into the human exposome and characterising its changes in response to climate change
  • Destination 3: HORIZON-HLTH-2027-01-DISEASE-05: Development of novel small molecule antiviral therapeutics for pathogens with epidemic potential
  • Destination 3: HORIZON-HLTH-2027-01-DISEASE-06: Development of monoclonal antibodies to prevent and treat infections from Flaviviruses
  • Destination 3: HORIZON-HLTH-2027-01-DISEASE-07: Development of monoclonal antibodies to prevent and treat infections from Filo-, Nairo-, Phenui-, Picorna- and Toga viruses
  • Destination 3: HORIZON-HLTH-2027-01-DISEASE-08: Development of innovative antimicrobials against pathogens resistant to antimicrobials
  • Destination 3: HORIZON-HLTH-2027-02-DISEASE-01-two-stage: Innovative healthcare interventions for non-communicable diseases
  • Destination 3: HORIZON-HLTH-2027-02-DISEASE-14-two-stage: Clinical trials for advancing innovative interventions for neurodegenerative
  • Destination 4: HORIZON-HLTH-2027-01-CARE-02: Personalised approaches to reduce risks from Adverse Drug Reactions due to administration of multiple medications
  • 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
  • Destination 5: HORIZON-HLTH-2027-03-TOOL-08: Towards the next generation of frontier Artificial Intelligence models for healthcare
  • Destination 5: HORIZON-HLTH-2027-03-TOOL-04: Virtual Human Twins (VHTs) for integrated clinical decision support in prevention and diagnosis

Type

  • Partner seeks Consortium/Coordinator

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