Cupertino, CA, United States of America

Virgil Nicula

USPTO Granted Patents = 5 

Average Co-Inventor Count = 8.4

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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5 patents (USPTO):Explore Patents

Title: The Innovative Contributions of Virgil Nicula

Introduction

Virgil Nicula is a prominent inventor based in Cupertino, CA, known for his significant contributions to the field of cancer classification through advanced technologies. With a total of 5 patents, he has made remarkable strides in utilizing convolutional neural networks for medical applications.

Latest Patents

Nicula's latest patents focus on innovative systems and methods for data classification, particularly in the context of cancer conditions. One of his notable inventions is a convolutional neural network system designed for the classification of various cancer conditions. This system utilizes genotypic data constructs to train a network architecture, allowing for accurate classification of cancer conditions based on training subjects' data. Another significant patent involves technical solutions for classifying patients with respect to multiple cancer classes using cell-free whole genome sequencing information. This method enhances the screening and detection of cancer classes, facilitating early and appropriate treatment for patients.

Career Highlights

Virgil Nicula is currently employed at Grail, Inc., where he continues to develop innovative solutions in the realm of cancer detection and classification. His work is pivotal in advancing the understanding and treatment of cancer through technology.

Collaborations

Nicula collaborates with esteemed colleagues such as Anton Valouev and Darya Filippova, contributing to a dynamic research environment focused on groundbreaking advancements in cancer classification.

Conclusion

Virgil Nicula's contributions to the field of cancer classification through his innovative patents and collaborative efforts highlight his role as a leading inventor in medical technology. His work not only advances scientific understanding but also has the potential to improve patient outcomes significantly.

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