San Francisco, CA, United States of America

Matthew Albert

USPTO Granted Patents = 3 

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Innovations by Matthew Albert in Medical Imaging

Introduction

Matthew Albert is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of medical imaging through his innovative work. With a total of three patents to his name, Albert is recognized for his advancements in utilizing machine-learning techniques to study complex diseases.

Latest Patents

Albert's latest patents focus on a discovery platform that employs machine-learning techniques for analyzing medical imaging data. One of his notable patents describes a method for identifying a covariant of interest concerning drug response phenotypes (DRP) of treatments. This platform aims to enhance the understanding of complex diseases that may have weak or unknown genetic drivers. Another patent outlines a method for identifying patient subgroups by inputting medical images into a trained unsupervised machine-learning model. This process generates embeddings in a latent space, which are then clustered to identify patient subgroups associated with specific covariants.

Career Highlights

Matthew Albert is currently employed at Insitro, Inc., where he continues to push the boundaries of innovation in medical research. His work is pivotal in bridging the gap between machine learning and healthcare, providing new insights into patient treatment and disease understanding.

Collaborations

Albert collaborates with talented individuals in his field, including Francesco Paolo Casale and Michael Bereket. These partnerships enhance the research and development of innovative solutions in medical imaging.

Conclusion

Matthew Albert's contributions to medical imaging through his patents and work at Insitro, Inc. highlight his role as a leading inventor in the field. His innovative approaches are paving the way for advancements in understanding complex diseases and improving patient outcomes.

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