Oporto, Portugal

Fabíola Costa

This inventor holds 1 USPTO granted patent. Top assignee: Sword Health S.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Fabíola Costa. Retrieved from https://idiyas.com/inventor/fabiola-costa

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Fabíola Costa and AI-Driven Digital Physical Therapy

Introduction

Fabíola Costa is an inventor associated with Oporto, Portugal, and Sword Health S.A. Her work includes an invention applying artificial intelligence to digital physical therapy.

Latest Patents

Costa is associated with 1 patent, titled “Artificial Intelligence-Driven Predictive Tool for Digital Platforms.” The invention uses baseline information and data collected during a user’s digital physical therapy sessions. A device tracks the user’s motion, and a machine-learning classifier processes the information to predict the program’s outcome. If the system predicts that the user will not meet a predetermined improvement threshold, it generates an alert for a second user administering the program.

Career Highlights

Costa’s patent work connects motion tracking and machine-learning predictions with the delivery of digital physical therapy. The described tool is designed to identify when a user may need attention during a therapy program.

Collaborations

Costa is associated with Sword Health S.A. Her listed coworkers include Robert Moulder and Maria Molinos.

Conclusion

Fabíola Costa’s patent describes an AI-driven approach to predicting therapy outcomes and alerting care providers when a user may not reach an expected improvement threshold.

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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