Allen, TX, United States of America

David Krubsack

This inventor holds 6 USPTO granted patents and 2 published patent applications, plus 1 CIPO patent and 3 EPO patents. Top assignees: Heart Test Laboratories, Inc., Heartsciences Inc.. Active years: 2017-2025.

USPTO Granted Patents = 6 

% Patents Active = 100.0


 

Average Co-Inventor Count = 2.8

ph-index = 2

Forward Citations = 5(Granted Patents)


Location History:

  • Allen, TX (US) (2017 - 2022)
  • Onalaska, WI (US) (2022)

Company Filing History:


Years Active: 2017-2025

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6 patents (USPTO):Explore Patents

Title: David Krubsack: Innovator in Cardiac Assessment Technologies

Introduction

David Krubsack is a notable inventor based in Allen, TX (US), recognized for his contributions to the field of cardiac assessment technologies. With a total of six patents to his name, Krubsack has made significant strides in utilizing machine learning to enhance the accuracy of echocardiographic evaluations.

Latest Patents

Among his latest patents, Krubsack has developed innovative methods for electrocardiogram-based estimation of echocardiography parameters. This technology employs machine-learned computational models to derive echocardiogram parameters from electrocardiograms and related features. Additionally, he has patented a method for electrocardiogram-based assessment of diastolic function, which utilizes machine learning to compute quantitative diastolic indicators from electrocardiograms.

Career Highlights

Throughout his career, Krubsack has worked with prominent companies in the healthcare technology sector, including Heart Test Laboratories, Inc. and HeartSciences Inc. His work has focused on improving cardiac function assessments through advanced computational techniques.

Collaborations

David Krubsack has collaborated with talented professionals in his field, including Aaron Peterson and Guangren Chen. Their combined expertise has contributed to the development of innovative solutions in cardiac diagnostics.

Conclusion

David Krubsack stands out as a pioneering inventor in the realm of cardiac assessment technologies. His work continues to influence the way heart function is evaluated, showcasing the potential of machine learning in medical diagnostics.

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