Basel, Switzerland

Filippo Arcadu

This inventor holds 2 USPTO granted patents and 3 published patent applications and 2 EPO patents. Top assignees: F. Hoffmann-La Roche Ag, Hoffmann-La Roche Inc.. Active years: 2025-2026.

USPTO Granted Patents = 2 

% Patents Active = 50.0

 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Filippo Arcadu: Innovator in Machine Learning for Visual Acuity Prediction

Introduction

Filippo Arcadu is a notable inventor based in Basel, Switzerland. He has made significant contributions to the field of machine learning, particularly in predicting future visual acuity. His innovative approach combines advanced technology with medical applications, showcasing the potential of machine learning in healthcare.

Latest Patents

Filippo Arcadu holds a patent for "Machine-learning techniques for prediction of future visual acuity." This patent describes methods and systems that utilize machine-learning models to predict a subject's future visual acuity. The process involves analyzing images of the retina to detect specific segments and generating metrics that characterize these segments. A second machine-learning model then processes these metrics to predict future visual acuity outcomes.

Career Highlights

Throughout his career, Filippo has worked with prominent companies, including Hoffmann-La Roche Inc. and F. Hoffmann-La Roche AG. His experience in these organizations has allowed him to apply his innovative ideas in real-world settings, contributing to advancements in medical technology.

Collaborations

Filippo has collaborated with talented individuals in his field, including Fethallah Benmansour and Yun Li. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and innovation.

Conclusion

Filippo Arcadu's work in machine learning for visual acuity prediction exemplifies the intersection of technology and healthcare. His contributions are paving the way for future advancements in medical diagnostics and treatment.

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