Orlando, FL, United States of America

David Maclean

This inventor holds 1 USPTO granted patent and 3 published patent applications, plus 3 CIPO patents and 6 EPO patents. Top assignee: Disney Enterprises, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Maclean. Retrieved from https://idiyas.com/inventor/david-maclean-le9sd0nn

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 = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: David Maclean - Innovator in Diabetes Treatment Prediction

Introduction

David Maclean is an inventor based in Middletown, RI (US). He has made significant contributions to the field of diabetes treatment through his innovative patent applications. His work focuses on methods for predicting treatment responses in patients with Type II Diabetes Mellitus.

Latest Patent Applications

David Maclean's notable patent application is titled "Methods and Kits for Predicting Treatment Response in Type II Diabetes Mellitus Patients." This application presents a method for predicting how a Type II diabetes patient will respond to the medication rosiglitazone. The method involves analyzing biomarkers from a patient sample, which include interleukin-8, histidine, and citrate. These biomarkers are identified using classification analyses such as majority-vote based classifiers and support-vector machine (SVM) classifiers. Additionally, the application outlines a method for predicting treatment response to glyburide after eight weeks of therapy, utilizing biomarkers like sphingomyelin 23:1 and L-phenylalanine. The application also includes kits designed for these methods.

Conclusion

David Maclean's innovative approaches in predicting treatment responses for Type II diabetes patients highlight the potential for advancements in personalized medicine. His work aims to improve treatment outcomes for individuals suffering from this condition.

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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