Belmont, CA, United States of America

Anitha Priya Krishnan

This inventor holds 2 USPTO granted patents and 1 published patent application and 2 EPO patents. Top assignees: Genentech, Inc., Hoffmann-La Roche Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Anitha Priya Krishnan. Retrieved from https://idiyas.com/inventor/anitha-priya-krishnan-dmzy893e

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

% Patents Active = 100.0


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

Loading Chart...
Loading Chart...
2 patents (USPTO):Explore Patents

Title: Anitha Priya Krishnan: Innovator in Machine Learning for Medical Imaging

Introduction

Anitha Priya Krishnan is a notable inventor based in Belmont, California. She has made significant contributions to the field of machine learning, particularly in the area of medical imaging. Her innovative work focuses on improving lesion detection through advanced machine-learning models.

Latest Patents

Anitha holds a patent for her invention titled "Connected machine-learning models with joint training for lesion detection." This patent involves accessing a three-dimensional magnetic resonance imaging (MRI) image that depicts a region of the brain, which includes various types of lesions. The process includes inputting the MRI image into a machine-learning model that utilizes two convolutional neural networks to generate segmentation masks for different types of lesions. This advancement has the potential to enhance diagnostic accuracy in medical imaging.

Career Highlights

Throughout her career, Anitha has worked with prominent companies in the biotechnology and pharmaceutical sectors. She has been associated with Genentech, Inc. and Hoffmann-La Roche Inc., where she has contributed her expertise in machine learning and medical imaging.

Collaborations

Anitha has collaborated with various professionals in her field, including her coworker Zhuang Song, who has also made significant contributions to their shared projects.

Conclusion

Anitha Priya Krishnan's work exemplifies the intersection of technology and healthcare, showcasing how innovations in machine learning can lead to improved medical diagnostics. Her contributions are paving the way for future advancements in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…