Mountain View, CA, United States of America

Diego Ardila

This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignee: Google Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Diego Ardila. Retrieved from https://idiyas.com/inventor/diego-ardila

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


% Patents Active = 100.0

 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Diego Ardila - Innovator in Cancer Detection Technology

Introduction

Diego Ardila is a prominent inventor based in Mountain View, CA, known for his groundbreaking work in the field of cancer detection. His innovative approach utilizes deep learning techniques to enhance the accuracy of cancer diagnosis, making significant strides in medical technology.

Latest Patents

Diego holds a patent for a method and system aimed at improving cancer detection using deep learning. This patent describes a sophisticated system that generates probabilistic predictions regarding the presence or absence of cancer in both longitudinal and current image datasets. The method employs an ensemble of deep learning models, including a global model in the form of a 3D convolutional neural network (CNN). This model extracts features indicative of cancer presence on a global scale. Additionally, the system incorporates a two-stage prediction model that identifies potential cancer candidates and assigns a probability of cancer to each candidate based on extracted features.

Career Highlights

Diego Ardila is currently employed at Google Inc., where he continues to develop innovative solutions in the realm of healthcare technology. His work is characterized by a commitment to leveraging advanced machine learning techniques to address complex medical challenges.

Collaborations

Diego collaborates with talented professionals such as Atilla Kiraly and Shravya Shetty, contributing to a dynamic team focused on pushing the boundaries of cancer detection technology.

Conclusion

Diego Ardila's contributions to cancer detection through deep learning represent a significant advancement in medical technology. His innovative methods have the potential to improve diagnostic accuracy and ultimately save lives.

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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