Medlea
LARGE LUNG MODEL · PREDICTIVE DIGITAL TWIN

LeaRes

Predictive Digital Twin for cardio-respiratory research.

Detect subtle correlations in longitudinal data that would be impossible to determine through human effort. Uncover trends and progressions in multivariate and multimodal time series.

Detect and classify nodules and lesions for pre- and post-surgical scenarios from tomographic and radiographic data.

Morphology and Ventilation

Morphology and Ventilation

Detect and classify nodules and lesions for pre- and post-surgical scenarios from tomographic and radiographic data.

  • Real-time 3D reconstruction of airways, nasal cavities, oropharynx, lobes, fissures, and vascular structures

Extracts regional biomechanics and consequent risk maps with AI-derived biomarkers.

Reinflation and hyperdistention

Reinflation and hyperdistention

Extracts regional biomechanics and consequent risk maps with AI-derived biomarkers.

  • Combine with transported agents flow for both autonomous and human-ventilator integrated contexts

Abnormalities in blood flow in branching arteries and parenchyma for general functional radiology.

Blood flow and perfusion

Blood flow and perfusion

Abnormalities in blood flow in branching arteries and parenchyma for general functional radiology.

  • Coagulation, hemolysis, pressure distribution, and optimized contrast agent delivery

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