This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Tempus Labs, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Samuel Peter Heilbroner: Inventor in Health Data Prediction.
Introduction
Samuel Peter Heilbroner is an inventor based in San Francisco, California. His patent work concerns machine learning methods for predicting information in electronic health records.
Latest Patents
Heilbroner is associated with 1 patent, titled “Systems, Methods, and Articles for Imputing Directed Temporal Measurements.” The patent describes using a trained machine learning model with an attention module to predict a data element in a subject’s electronic health record. The method obtains a prediction query and observations about the subject, processes them with the model, and provides a predicted subject characteristic as output.
Career Highlights
Heilbroner is associated with Tempus Labs, Inc., a company working in health technology and data-driven medicine. His patent reflects an application of machine learning to electronic health record data.
Collaborations
His listed coworkers include Riccardo Miotto and Dany Michael Haddad. Their shared connection is the health data and machine learning field.
Conclusion
Samuel Peter Heilbroner’s patent focuses on applying attention-based machine learning to predict information from electronic health records, connecting his inventive work with Tempus Labs, Inc.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile