Los Angeles, CA, United States of America

Paymaneh Malihi

This inventor holds 1 USPTO granted patent. Top assignee: University of Southern California. Active years: 2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paymaneh Malihi. Retrieved from https://idiyas.com/inventor/paymaneh-malihi

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


% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Paymaneh Malihi: Innovator in Predictive Health Technologies

Introduction

Paymaneh Malihi is a notable inventor based in Los Angeles, CA. He has made significant contributions to the field of predictive health technologies. His work focuses on developing methods that can enhance patient care through advanced data analysis.

Latest Patents

One of his key patents is titled "System and method for predicting survival time." This innovative method involves predicting an individual's survival time based on clinical data and liquid biopsy data. The process utilizes a deep learning model to analyze health factors and attributes of diseased cells. This groundbreaking approach aims to provide accurate survival time predictions, which can be crucial for patient management.

Career Highlights

Paymaneh Malihi is affiliated with the University of Southern California, where he continues to advance his research in health technologies. His work has garnered attention for its potential to transform how healthcare providers assess patient prognosis.

Collaborations

He collaborates with esteemed colleagues such as Yan Liu and Sanjay Purushotham, contributing to a dynamic research environment that fosters innovation.

Conclusion

Paymaneh Malihi's contributions to predictive health technologies exemplify the impact of innovative thinking in medicine. His work not only enhances patient care but also sets a precedent 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]
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