New York, NY, United States of America

Charlie Hack

USPTO Granted Patents = 2 

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 11(Granted Patents)


Company Filing History:


Years Active: 2020-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Charlie Hack in Developmental Progress Assessment

Introduction

Charlie Hack is an innovative inventor based in New York, NY (US). He has made significant contributions to the field of developmental progress assessment through his patented methods and apparatus. With a total of 2 patents, Hack's work focuses on utilizing artificial intelligence and user input to enhance the diagnosis of developmental disorders.

Latest Patents

Hack's latest patents include groundbreaking methods and apparatus designed to determine developmental progress. These innovations can diagnose or identify a subject as at risk of having one or more developmental disorders with fewer questions and decreased amounts of time. The methods provide clinically acceptable sensitivity and specificity in a clinical environment. By configuring a processor with instructions to identify the most predictive next question, Hack's inventions allow for a more efficient diagnosis process, particularly beneficial when a subject presents with multiple potential developmental disorders.

Career Highlights

Charlie Hack is currently associated with Cognoa, Inc., where he continues to develop and refine his innovative approaches to developmental assessment. His work is instrumental in advancing the capabilities of artificial intelligence in healthcare.

Collaborations

Hack collaborates with notable colleagues, including Brent Vaughan and Clara Lajonchere, who contribute to the innovative environment at Cognoa, Inc. Their combined expertise fosters a dynamic approach to tackling developmental disorders.

Conclusion

Charlie Hack's contributions to the field of developmental progress assessment through his patents reflect his commitment to improving diagnostic methods. His work not only enhances the efficiency of identifying developmental disorders but also paves the way for future innovations in healthcare technology.

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