Arlington, MA, United States of America

Kenney Ng

This inventor holds 31 USPTO granted patents and 18 published patent applications, primarily in Machine Learning. Top assignees: International Business Machines Corporation, Massachusetts Institute of Technology, Merative US L.p.. Active years: 2008-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kenney Ng. Retrieved from https://idiyas.com/inventor/kenney-ng

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

USPTO Granted Patents = 31 

% Patents Active = 74.2

Average Co-Inventor Count = 3.9

ph-index = 4

Forward Citations = 146(Granted Patents)


Location History:

  • Littleton, MA (US) (2013 - 2014)
  • Arlington, MA (US) (2008 - 2023)

Company Filing History:


Years Active: 2008-2026

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Areas of Expertise:
Bayesian Neural Networks
Subgroup Discovery
Mechanistic Model Inference
Biomarkers
Clinical Risk Prediction
Precision Cohorts
Electronic Health Records
Speech Recognition
Data Storage Health
Predictive Patterns
Medical Decision Support
Information Retrieval
31 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Kenney Ng in Biomedical Predictions

Introduction

Kenney Ng, based in Arlington, MA, is a prominent inventor with a remarkable portfolio of 28 patents. His work primarily focuses on advancing predictive modeling techniques in the biomedical field, making significant strides in improving clinical predictions related to various medical conditions.

Latest Patents

One of Ng's latest innovations is the technology for generating ontology based on biomarkers. This patented technique highlights the importance of biomarker information in enhancing clinical predictions. The Ontology Generator Component (OGC) extracts clinical features from medical records to develop comprehensive clinical profiles associated with specific medical conditions. By analyzing the progression and severity of biomarkers, the OGC can create an ontology that aids in predicting the onset and progression of diseases.

Another significant patent involves data model processing in machine learning through feature selection using sub-population analysis. This invention allows for the identification and selection of relevant features in a dataset for predictive modeling. By evaluating different predictive models, Ng's work ensures a higher accuracy in outcome predictions, thereby improving the reliability of data-driven decisions in clinical settings.

Career Highlights

Kenney Ng's career is marked by his tenure at renowned organizations such as IBM and the Massachusetts Institute of Technology (MIT). His experience in these institutions has equipped him with the knowledge and expertise necessary to make impactful contributions to the field of biomedical innovation.

Collaborations

Throughout his career, Ng has collaborated with esteemed colleagues, including Uri Kartoun and Paul C. Tang. These partnerships have facilitated the exchange of ideas and fostered innovation, further enriching the landscape of predictive modeling in healthcare.

Conclusion

Kenney Ng's innovative contributions through his patents are invaluable to the medical field, particularly in enhancing predictive analytics. His work not only exemplifies the potential of modern technology in healthcare but also demonstrates a commitment to improving clinical outcomes for patients. As a prolific inventor, Ng continues to pave the way for future advancements in biomedical predictions.

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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