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The PIC experience towards the vision of the Digital Twin

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FHTW01 - Uncertainty quantification for cardiac models

Providing therapy options that are tailored to each patient is the vision of the precision medicine, created by the increasing ability to capture exquisite data about the patient. In this talk it is argued that the a second enabling pillar towards this vision is the increasing ability of computers to reason with data and to build the “digital twin” of the patient, defined as the coherent representation of both its individual data and the knowledge of human physiology. This talk will review early steps of the “digital twin” in the area of cardiovascular medicine, from the perspective of the Personalised In-silico Cardiology (PIC) EU project, together with a critical discussion of the challenges and opportunities ahead. A special emphasis is given on the synergies between mechanistic and statistic models in cardiology, how they are accelerating research, and how they will enable the vision of precision medicine.

This talk is part of the Isaac Newton Institute Seminar Series series.

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