CAMBRIDGE, MA, United States of America

Maha Shady

This inventor holds 1 USPTO granted patent. Top assignee: Koninklijke Philips Corporation N.v.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maha Shady. Retrieved from https://idiyas.com/inventor/maha-shady

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Maha Shady: Medical Device Control and Shape-Sensing Innovation.

Introduction

Maha Shady is an inventor based in Cambridge, Massachusetts, whose patent work concerns computer-implemented control of medical devices during procedures involving patients. Her listed employer is Koninklijke Philips N.V.

Latest Patents

Shady is associated with 1 patent, titled “System and Device Control Using Shape Clustering.” The invention describes a system that uses shape-sensing measurements to predict information such as an anatomical location, procedure type, or procedural phase. This information can help control or navigate a device inside a patient without requiring imagery to be acquired during the procedure. The patent also describes machine-learning-based predictor logic and methods for training the model and generating training data.

Career Highlights

The patent reflects work at the intersection of shape sensing, machine learning, and medical-device control. Its proposed approach uses measurements of a device’s shape to support procedural guidance and control.

Collaborations

Shady’s listed coworkers include Torre Michelle Bydlon and Molly Lara Flexman. The patent’s described systems and methods also involve technical contributions related to shape sensing, predictive models, and device navigation.

Conclusion

Maha Shady’s patent work focuses on using shape-sensing data and predictive logic to support medical-device control and navigation during patient procedures.

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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