Pricewaterhousecoopers Llp

Paul M D'Alessandro

Samuel Pierce Burns

Gaurav Dwivedi

Mark Paich

Colleen Chelini

Joydeep Sarkar

Jerome Patrick Offner

Rakesh Vidya Chandra Kapila

Qian Chen

Julia Hui-ling Chen

Sai Phanindra Venkatapurapu

Mrinal Kanti Mandal

Systems and methods for health and body simulations in order to predict numerous physiological parameters in a subject or a population of subjects based on the input of limited physiological data.

System and method for physiological health simulation

Described are methods and systems for calibrating simulation models to generate digital twins for physical entities. In some embodiments, a method includes receiving a plurality of datasets for a plurality of corresponding physical entities. A calibration request is enqueued to a calibration requests queue for each received dataset and includes information indicating a dataset and a corresponding physical entity. A plurality of calibration engines and a plurality of corresponding simulation clusters for generating a plurality of calibration results for a plurality of calibration requests dequeued from the calibration requests queue can be deployed. Each calibration result is enqueued to a calibration results queue as the plurality of calibration engines generates the calibration result and a plurality of calibration results dequeued from the calibration results queue in association with the plurality of corresponding physical entities can be stored as information used to generate a plurality of corresponding digital twins.

Creating digital twins at scale

Growing community of inventors

Lake Forest, IL, United States of America

Paul M D'Alessandro