Chesterbrook, PA, United States of America

Oodaye Shukla

USPTO Granted Patents = 5 

Average Co-Inventor Count = 5.6

ph-index = 2

Forward Citations = 7(Granted Patents)


Location History:

  • Wayne, PA (US) (2022)
  • Chesterbrook, PA (US) (2021 - 2024)

Company Filing History:


Years Active: 2021-2024

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5 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Oodaye Shukla

Introduction

Oodaye Shukla, based in Chesterbrook, PA, is an accomplished inventor with a notable portfolio of five patents. His innovative work primarily focuses on the application of machine learning to enhance medical diagnostics, particularly for diseases such as amyotrophic lateral sclerosis (ALS).

Latest Patents

Among his latest inventions is a method, computer program product, and system that continually acquires machine-readable data sets related to a patient population diagnosed with ALS from multiple databases. This invention employs processors that apply recurrent neural networks to machine-learn optimal features for classifying patients based on their condition. The technology generates intermediate features and evaluates records in real-time to classify them accurately, thus aiding in patient diagnosis and treatment planning.

Another significant contribution is the implementation of machine-learning-based query construction and pattern identification through visualization within user interfaces. This system obtains data sets from databases concerning patient populations with specific medical conditions. By identifying common features and generating machine learning algorithms, it assists in diagnosing undiagnosed patients. The machine learning algorithms are integrated into a graphical user interface, offering probabilities regarding the presence of medical conditions based on the collected data, thereby optimizing the clinical decision-making process.

Career Highlights

Oodaye has made remarkable strides in his career, holding key roles in organizations like Hvh Precision Analytics. His work aims to bridge the gap between complex data analysis and practical healthcare applications.

Collaborations

Throughout his career, Oodaye has collaborated with talented individuals, including coworkers Chris P. Miller and Manjula Kasoji. Their shared expertise fosters an environment of innovation and forward-thinking in the field of medical technology.

Conclusion

Oodaye Shukla’s contributions to machine learning and medical diagnostics demonstrate the potential of innovative technology in revolutionizing patient care. His patents underscore the importance of leveraging data science to enhance understanding and treatment of serious medical conditions, making him a significant figure in the realm of modern inventions.

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