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Proyectos colaborativosActualizado el 16 de abril de 2026

Multi-omics (AI) Biomarker & Predictive Model Co-Development for Precision Medicine

CEO & Co-Founder en Nexyra Advanced Research

Madrid, España

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Nexyra Advanced Research builds AI-powered multi-omics and multimodal intelligence to turn molecular and clinical data into actionable insights for diagnostics, patient stratification, and biomedical R&D decision-making.

Systems biology applied to multi-omics captures complex mechanisms beyond single-marker approaches and addresses biological heterogeneity that often limits clinical translation and R&D success. We integrate multi-layer omics (e.g., genomics, epigenomics, transcriptomics, proteomics, metabolomics, microbiome) with clinical variables to develop robust signatures and predictive models tailored to specific cohorts/populations.

What we propose (Project cooperation)
A collaboration with hospitals, clinical groups, biotechs, or pharma to:

  • Discover and validate biomarkers (diagnostic / stratification / monitoring).

  • Build predictive and prognostic models integrating multi-omics + clinical data (AI).

  • Prioritize therapeutic targets and support translational R&D decisions.

Preferred use cases (examples)

  • Oncology (e.g., tumor microenvironment and immunometabolism; meta-analysis of public cohorts).

  • Complex diseases with high biological heterogeneity (stratification and treatment response).

  • Longevity and precision health (biological age, pathway regulation, personalized interventions).

Typical deliverables

  • Reproducible pipeline (QC, harmonization, multi-omics integration, statistical analysis, ML).

  • Prioritized biomarker/target list with evidence, functional interpretation, and actionable recommendations.

  • Scientific report and, optionally, stakeholder-ready visualizations/dashboards.

What we need from the partner

  • Access to cohorts and/or samples (retrospective or prospective) plus minimum clinical metadata.

  • A “clinical champion” to define endpoints and support biological/clinical validation.

  • Interest in co-publication, co-development, licensing, or progression into validation/clinical study phases.

Collaboration model

  • NDA + collaboration agreement (roles, governance, milestones, IP/background IP).

  • Options: (i) fee-for-service + milestone bonuses, (ii) co-development with shared IP, (iii) consortium / competitive grants.

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