AI for biomolecular analysis in translational medicine and nanotechnology.

AI and nanoscience to transform complex data into real therapies.

  • Development of digital twins of patients for treatment simulation.

  • Development of studies based on predictive models to select therapeutic candidates.

  • Identification of biomarkers using machine learning.

  • Design of histological image analysis and microscopy studies using artificial intelligence

  • Treatment validation in virtual cohorts (digital twins).

  • Real-time integration of clinical and experimental data.

  • Consulting on AI Regulation and Ethics in Translational Medicine

  • AI Training for Translational Researchers