Medlea | Digital lung health



Digital twin for

predictive lung health

Real-time response cutting down costs by 86%

Screening a single patient radiologically and functionally takes over 30 minutes
whereas Medlea increases the odds for effective treatment

Miss early diagnosis
Miss timely and accurate visits
Receive the wrong therapy

Evidence-based results so that
human error does not get in the way of saving human lives

Real-time processing of radiology, spirometry, ECG, ABG for blockages, lesions, oncological regions
Curated and disease focused data
Disease precursors from multimodal morpho-functional biomarkers
Large-volume longitudinal studies on humans and animals
Optimized aerosol deposition and formulations
Patient support and drug adherence
Blood perfusion, clotting, hemolysis
Flow anomalies and ventilation-perfusion balance
Drugs efficacy and evidence of access
Education and training for professionals

ISO 13485:2016

MedLea conforms to the Quality Management System for the following scope : Design and Development of Software for the Processing of Radiological, Clinical and Telemedicine Health Data for the Analysis of Cardiorespiratory Diseases

ISO 9001:2015

MedLea conforms to the Quality Management System Standard for the processing of radiological data, clinical data and telemedicine health data for the analysis of pathophysiological respiration and prediction of lung disease

Gif representing a 3D lung
Forecast and interpret treatment scenarios via Generative AI and Active Learning
Improve quality and coverage of care, raise awareness, promote positive changes in health behavior

How the workflow operates


The next generation solution for morpho-functional analysis. Single-acquisitions CT scans are inputs to quantify ventilation. Lung cancer surgery can be simulated and ventilation quantified.


The powerful AI engine that discovers hidden correlations through the subject history, that would be impossible to determine by human effort. Multimodal data from radiology, spirometry, ABG, ECG and vitals are inputs to detect early precursors and forecast evolution scenarios.

They are working with us