Coralville, IA, United States of America

Pooya Mobadersany

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Janssen Research & Development, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Pooya Mobadersany. Retrieved from https://idiyas.com/inventor/pooya-mobadersany

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Pooya Mobadersany: Advancing Multimodal Cancer Prediction

Introduction

Pooya Mobadersany is an inventor based in Coralville, Iowa, whose patent work focuses on applying machine learning to cancer prediction. He is associated with Janssen Research & Development, LLC, and is credited with 1 patent.

Latest Patents

His patent, “Multimodal System and Method for Predicting Cancer,” describes a method that combines information from patient images to generate a cancer prediction. A convolutional neural network analyzes images to identify non-interpretable features, while a separate machine learning model processes interpretable image features. A fully connected network then combines the resulting outputs to produce information relevant to the prediction.

Career Highlights

Mobadersany’s disclosed invention brings together image analysis and machine learning in a multimodal approach. By combining different types of image-derived features, the system is designed to support cancer prediction.

Collaborations

Mobadersany is associated with Janssen Research & Development, LLC. His listed coworkers include Stephen Sf Yip and Justin Lucas.

Conclusion

Pooya Mobadersany’s patent reflects an effort to combine neural networks and interpretable image features in a machine-learning system for cancer prediction.

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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