Data-Driven Estimation of Predictive Digital Twin Models from Medical Data

Digital twin models of a patient, patient organ, or patient organ system from which biomarkers can be derived are used for clinical decision support. The individualization procedure also includes a predictive consideration (16) to improve the sensitivity and specificity of the digital-twin derived b...

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Bibliographic Details
Main Authors Comaniciu, Dorin, Mansi, Tommaso
Format Patent
LanguageEnglish
Published 20.05.2021
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Summary:Digital twin models of a patient, patient organ, or patient organ system from which biomarkers can be derived are used for clinical decision support. The individualization procedure also includes a predictive consideration (16) to improve the sensitivity and specificity of the digital-twin derived biomarker. In particular, during training, the predictive biomarker for which the individualized model is to be used is taken into account (16), which then accounts for the biomarker in application. The fitting (15) of the model for a specific patient accounts (16) for the prediction or model usage, resulting in estimating (14) biomarkers more optimized for the end use rather than just fit to the current baseline of the patient.
Bibliography:Application Number: US201917048127