0.92 AUC
The investigational biomechanical model achieved an AUC of 0.92 in distinguishing healthy donor and dissection tissue.
Patient-specific. Data driven. AI powered.
Patients with similar aortic dimensions may have different geometries, mechanical properties, and patterns of vulnerability.
Aortico is being developed to provide this additional patient-specific context by combining medical imaging, biomechanics, and data-driven analysis.
BVI summarizes the patient-specific biomechanical profile of the ascending aorta on a continuous scale from 0 to 1.
Higher values represent a more vulnerable biomechanical profile, not a direct probability of dissection.
Research-stage metric. Not currently intended as a clinical diagnosis.
Lower end of the biomechanical vulnerability spectrum.
Click or drag on the spectrum to explore the BVI scale.
Aortico transforms cardiovascular MRI into a patient-specific biomechanical characterization and summarizes the findings in an interpretable research report.
Build a patient-specific representation of the thoracic aorta from cardiovascular imaging.
Characterize how the thoracic aorta changes throughout the cardiac cycle.
Characterize patient-specific blood-flow behavior throughout the thoracic aorta.
Bring imaging-derived findings together in a clear, patient-specific research report.
Clinic volumes keep growing while the surveillance model still treats every patient the same. These are the settings we are building toward.
Separate the patients who need close watching from those who don't.
A second signal alongside size thresholds when timing an operation.
A quantitative endpoint for studying how aortic disease progresses.
Aortico is built on a biomechanical dataset of more than 600 human aortic tissue specimens. These measurements provide a reference for understanding how the mechanical behavior of healthy, aneurysmal, and dissected aortas differs—and support the development of imaging-derived markers of aortic vulnerability.
The investigational biomechanical model achieved an AUC of 0.92 in distinguishing healthy donor and dissection tissue.
A large ex-vivo biomechanical dataset spanning healthy, aneurysmal, and dissected aortic tissue.
By linking tissue-level mechanical behavior with non-invasive cardiovascular imaging, Aortico aims to identify vulnerability patterns that are not captured by aortic diameter alone.
These are the outcomes Aortico is being developed to investigate with clinical partners.
Identify which patients may warrant closer surveillance—and which may not.
Add a patient-specific biomechanical signal to multidisciplinary review.
Create a quantitative endpoint for longitudinal and interventional studies.
The problem sits between three disciplines. So does the team.
We're looking for clinical and research partners working to improve how thoracic aortic disease is studied and managed.