New York, NY, United States of America

Daniel Paull

This inventor holds 1 USPTO granted patent. Top assignee: New York Stem Cell Foundation, Inc.. Active years: 2026.

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

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Daniel Paull and Predictive Models for Neurodegenerative Disease

Introduction

Daniel Paull is an inventor associated with New York Stem Cell Foundation, Inc., in New York, NY. His patent work focuses on using cellular morphology and predictive modeling to help identify disease states, including Parkinson’s disease.

Latest Patents

Paull is named on one patent, 1 patent: “Methods and Systems for Predicting Neurodegenerative Disease State.” The disclosure describes an automated pipeline for training and deploying a predictive model that distinguishes cellular phenotypes associated with different disease states. It gives Cell Painting as an example of a method for revealing morphological features in cells and describes predicting whether cells exhibit a neurodegenerative disease state, such as the presence or absence of Parkinson’s disease.

Career Highlights

Paull’s listed patent connects computational prediction with cellular imaging and disease research. The approach described in the patent uses morphological characteristics as inputs for a model designed to classify cellular disease states.

Collaborations

Paull’s listed coworkers include Bianca Migliori and Bjarki Johannesson. His patent is associated with New York Stem Cell Foundation, Inc.

Conclusion

Daniel Paull’s patent work brings together cellular phenotyping and predictive modeling to support research into neurodegenerative disease states.

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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