A Real‐Time Digital Twin for Human Cardiovascular Applications
S C Snijders, M C M Rutten, J E M Sels, W A L Tonino, W Huberts · 2026
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Description
Snijders and colleagues build a real time digital twin for the human circulation, in work from 2026. A digital twin copies a patient's current state and can forecast near states for care choices. Live twins must update one key value at each new measure while staying stable under noise.
A reduced filter tracks left ventricle squeeze strength with a lumped flow model of body circulation. Fake data tested sensitivity, clarity, and stability before real patient data were used. The twin found the true value live and held steady under measurement noise. Start value choice did not block tracking of later changes in strength. Real data tracked drug driven state shifts with strong agreement.
Catalog record
| CREATOR | S C Snijders, M C M Rutten, J E M Sels, W A L Tonino, W Huberts |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 81 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |