Pricewaterhousecoopers Llp

The Johns Hopkins University

Pwc Product Sales LLC

Samuel Pierce Burns

Paul M D'Alessandro

Gaurav Dwivedi

Mark Paich

Joydeep Sarkar

Colleen Chelini

Bo Li

Yifeng Wang

Joseph David Voyles

Sridevi V Sarma

Munther Dahleh

Anand Srinivasa Rao

Julia Hui-ling Chen

Sabato Santaniello

Zhen Qi

Mansi Arora

Sai Phanindra Venkatapurapu

Mrinal Kanti Mandal

Jerome Patrick Offner

Rakesh Vidya Chandra Kapila

Qian Chen

System and methods for generating synthetic data according to a plurality of options are provided. According to a first option, synthetic data is generated based on an indication of one or more target distributions. According to a second option, a one or more target distributions are determined based on a sample data set, and synthetic data is generated based on the determined target distribution(s). According to a third option, a temporary synthetic data set is generated based on an indication of one or more target distributions, matches between the temporary synthetic data set and a sample data set are then identified, and a synthetic data set is then generated based on the identified matches. A system may automatically determine which option to leverage based on whether a user provides a sample data set, one or more target distributions, or both.

Systems and methods for generating synthetic data

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

A neurostimulation device includes a plurality of electrodes adapted to be electrically connected to a subject to receive multichannel electrical signals from the subject's brain, a multichannel seizure detection unit electrically connected to the plurality of electrical leads to receive the multichannel electrical signals, and a neurostimulation unit in communication with the multichannel seizure detection unit. The plurality of electrodes are at least three electrodes such that the multichannel electrical signals are at least three channels of electrical signals, and the multichannel seizure detection unit detects a presence of a seizure based on multichannel statistics from the multichannel electrical signals including higher order combinations than two-channel combinations.

Seizure detection device and systems

Growing community of inventors

Philadelphia, PA, United States of America

Samuel Pierce Burns