Anumana, Inc.

Mayo Foundation for Medical Education and Research

Yash Gupta

Rakesh Barve

Shashi Kant

Paul A Friedman

Uddeshya Upadhyay

Itzhak Zachi Attia

Ashim Prasad

Samir Awasthi

Peter A Noseworthy

Joerg Herrmann

John Rincón-Hekking

Shayan Ghosh

An apparatus and method for static image of time series measured data to time series translation is disclosed. The apparatus comprises at least a processor configured to receive a static image of time series measured data, convert that static image from its initial domain to a usable time series within another user-selected domain, then to validate the conversion against a confidence threshold.

Apparatus and method for time series data format conversion and analysis

An apparatus and method for detecting a level of cardiovascular disease. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to: receive a plurality of voltage-time data, generate at least a feature vector from the voltage-time data by at least a feature model, input the at least feature vector into a cardiovascular classification model, generate at least a disease indication in a subject using the classification model, wherein the disease indication comprises a level of myocarditis, and display the at least a disease indication.

Method and an apparatus for detecting a level of cardiovascular disease

An apparatus (and/or method) for training machine-learning model to make determinations from mismatched channel signals, wherein the apparatus includes a processor and memory communicatively connected to the processor. The memory containing instructions configuring the processor to receive a first set of signals using a first number of channels, process the first set of signals to simulate a second set of signals from a second number of channels, train a signal conversion model using the first set of signals and the second set of signals, and output a set of converted signals having the first number of channels using the third set of signals and the trained signal conversion model.

Apparatus (and/or method) of training a machine-learning model to generate determinations using mismatched-channel signals

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Bengaluru, India

Yash Gupta