Ebenbuild
Developer of patient-specific digital twin technology for the lung. The company creates CT-based, physics-informed lung models that combine computational fluid dynamics, tissue mechanics and AI to support clinical decision-making (mechanical ventilation) and to run in silico trials for pulmonary drug delivery. Services include image-based model generation, cohort simulation, validation against clinical data, and integration of actionable intelligence into clinical workflows.
Industries
Nr. of Employees
small (1-50)
Ebenbuild
Products
Twinhale (in silico trial and deposition simulation software)
A scalable simulation tool that predicts physiologically accurate, patient-specific aerosol and drug deposition across the lung to support preclinical evaluation and trial design.
Twinhale (in silico trial and deposition simulation software)
A scalable simulation tool that predicts physiologically accurate, patient-specific aerosol and drug deposition across the lung to support preclinical evaluation and trial design.
Services
In silico trial services (pulmonary drug delivery)
Design and run customized in silico trials using patient-specific digital twins to evaluate device, dosing and formulation parameters and provide quantitative deposition and outcome metrics.
Clinical decision support service for mechanical ventilation
Provide clinicians with actionable, patient-specific intelligence that links ventilator settings to predicted lung mechanics and risk indicators to support safer, individualized ventilation strategies.
In silico trial services (pulmonary drug delivery)
Design and run customized in silico trials using patient-specific digital twins to evaluate device, dosing and formulation parameters and provide quantitative deposition and outcome metrics.
Clinical decision support service for mechanical ventilation
Provide clinicians with actionable, patient-specific intelligence that links ventilator settings to predicted lung mechanics and risk indicators to support safer, individualized ventilation strategies.
Expertise Areas
- Digital twin development for respiratory health
- In silico trials for pulmonary drug delivery
- Clinical decision support for mechanical ventilation
- Physics-based CFD and tissue mechanics modeling
Key Technologies
- Computational fluid dynamics (CFD)
- Finite element tissue mechanics
- Patient-specific CT segmentation
- Aerosol deposition modeling