Sunnyvale, CA, United States of America

Darya Filippova

USPTO Granted Patents = 6 

Average Co-Inventor Count = 7.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2025

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6 patents (USPTO):Explore Patents

Title: Darya Filippova: Innovator in Cancer Classification Technologies

Introduction

Darya Filippova is a prominent inventor based in Sunnyvale, California, known for her significant contributions to the field of cancer classification technologies. With a total of six patents to her name, she has been at the forefront of developing innovative systems that enhance the detection and classification of various cancer conditions.

Latest Patents

Among her latest patents is a groundbreaking invention titled "Convolutional Neural Network Systems and Methods for Data Classification." This patent focuses on the classification of cancer conditions across multiple types, utilizing genotypic data constructs from training subjects. The system employs a convolutional neural network architecture to train and classify cancer conditions effectively. Another notable patent is centered on "Systems and Methods for Classifying Patients with Respect to Multiple Cancer Classes." This invention leverages cell-free whole genome sequencing information to train classifiers that can distinguish between different cancer classes, thereby improving early detection and treatment options for patients.

Career Highlights

Darya Filippova has made remarkable strides in her career, particularly through her work at Grail, Inc. Her innovative approaches to cancer classification have positioned her as a leader in the field. Her patents reflect her commitment to advancing medical technology and improving patient outcomes.

Collaborations

Darya has collaborated with esteemed colleagues, including M Cyrus Maher and Robert Abe Paine Calef. These partnerships have further enriched her research and development efforts in cancer classification technologies.

Conclusion

Darya Filippova's contributions to cancer classification through her innovative patents and collaborative efforts highlight her as a key figure in the medical technology landscape. Her work continues to pave the way for advancements in cancer detection and treatment.

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