New York, NY, United States of America

Daniel Rimm

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Click Therapeutics, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel Rimm. Retrieved from https://idiyas.com/inventor/daniel-rimm

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: The Innovations of Daniel Rimm

Introduction

Daniel Rimm is an accomplished inventor based in New York, NY. He has made significant contributions to the field of digital therapeutics through his innovative patent. His work focuses on enhancing user interactions with therapeutic content, which can lead to improved health outcomes.

Latest Patents

Daniel Rimm holds a patent for "Predicting persistence or reduction in user interactions across sessions using machine learning models and event data." This patent outlines systems and methods for detecting expected reductions in user interactions across sessions. The computing system identifies event data related to user interactions with digital therapeutic content. By applying this data to a machine learning model, the system generates a likelihood of continued user engagement. If a user is predicted to not meet a certain interaction threshold, the system can provide tailored outputs to enhance the efficacy of concurrent medication.

Career Highlights

Rimm is currently employed at Click Therapeutics, Inc., where he continues to develop innovative solutions in the digital health space. His work is pivotal in bridging technology and healthcare, making therapeutic content more accessible and effective for users.

Collaborations

Some of his notable coworkers include Gunther Havel and William Morse. Their collaborative efforts contribute to the advancement of digital therapeutic solutions.

Conclusion

Daniel Rimm's innovative work in predicting user interactions through machine learning is a testament to his expertise and dedication to improving digital therapeutics. His contributions are shaping the future of healthcare technology.

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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