Basel, Switzerland

Laura Gaetano

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

USPTO Granted Patents = 2 

% Patents Active = 50.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Laura Gaetano: Innovator in Machine Learning for Medical Imaging

Introduction

Laura Gaetano is a prominent inventor based in Basel, Switzerland. She has made significant contributions to the field of machine learning, particularly in the area of medical imaging. Her innovative work focuses on improving lesion detection through advanced machine-learning models.

Latest Patents

Laura Gaetano holds a patent for "Connected machine-learning models with joint training for lesion detection." This patent involves accessing a three-dimensional magnetic resonance imaging (MRI) image that depicts a region of the brain, which includes various types of lesions. The process includes inputting the MRI image into a machine-learning model that utilizes convolutional neural networks to generate segmentation masks for different types of lesions. This technology aims to enhance the accuracy and efficiency of lesion detection in medical imaging.

Career Highlights

Throughout her career, Laura has worked with notable companies such as Genentech, Inc. and Hoffmann-La Roche Inc. Her experience in these organizations has allowed her to develop and refine her expertise in machine learning applications within the healthcare sector.

Collaborations

Laura has collaborated with various professionals in her field, including her coworker Zhuang Song. These collaborations have contributed to her innovative approaches and advancements in machine learning technologies.

Conclusion

Laura Gaetano is a trailblazer in the integration of machine learning with medical imaging, and her patent reflects her commitment to enhancing healthcare through technology. Her work continues to influence the field and pave the way for future innovations.

Profile summary based on public USPTO records.
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