#ntt_researchcom
In Kazuhiro Gomi’s vision of a **bio-digital twin**, this construct is a detailed, physics-based model that mirrors a specific physiological system within the human body. Gomi emphasizes the role of combining broad population-level knowledge with individual patient data to personalize these models. The creation of a bio-digital twin, as per Gomiâ??s perspective, begins with the generation of a digital population of hypotheses, paired with predicted measurements under diverse contexts, derived from extensive public health datasets. The bio-digital twin is then personalized by statistically comparing observed patient measurements and context to this digital population, thereby discerning which hypotheses among the initial set are most probable given the current patient data. Consequently, Gomi’s bio-digital twin is an advanced computational tool, rather than a simple data aggregation or a 3D visualization, designed to enable precise medical simulations, tests, and predictions tailored to individual patients.
https://www.forbes.com/sites/forbestechcouncil/2023/08/18/bio-digital-twin-getting-the-heart-right/