Isabelle Guyon

This inventor holds 25 USPTO granted patents and 2 published patent applications, plus 1 CIPO patent and 2 EPO patents, primarily in Bioinformatics Data Analysis. Top assignees: Health Discovery Corporation, Barnhill Technologies LLC, Biowulf Technologies, LLC. Active years: 1997-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Isabelle Guyon. Retrieved from https://idiyas.com/inventor/isabelle-guyon-mxs3eh73

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

USPTO Granted Patents = 25 (Patent Applications = 2)

% Patents Active = 44.0

CIPO Patents = 1

EPO Patents = 2 (Patent Applications = 2)

Average Co-Inventor Count = 2.1

ph-index = 16

Forward Citations = 1,029(Granted Patents)

Company Filing History:

20 out of 36

Health Discovery Corporation

patents

2 out of 4

Barnhill Technologies LLC

patents

2 out of 4

Biowulf Technologies, LLC

patents

4. 1 out of 9,364

Lucent Technologies Inc.

patents

Years Active: 1997-2021

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Areas of Expertise:

Prostate Cancer

Support Vector Machines

Feature Selection

Data Mining

Biomarkers

Pattern Recognition

Cluster Analysis

Gene Expression

Knowledge Discovery

Remote Screening

Machine Learning

25 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11105808 - Methods for screening, predicting and monitoring prostate cancer (2021-08-31),

2. 10402685 - Recursive feature elimination method using support vector machines (2019-09-03),

3. 9952221 - Methods for screening, predicting and monitoring prostate cancer (2018-04-24),

4. 8543519 - System and method for remote melanoma screening (2013-09-24),

5. 8489531 - Identification of co-regulation patterns by unsupervised cluster analysis of gene expression data (2013-07-16),

6. 8293469 - Biomarkers downregulated in prostate cancer (2012-10-23),

7. 8275723 - System for providing data analysis services using a support vector machine for processing data received from a remote source (2012-09-25),

8. 8126825 - Method for visualizing feature ranking of a subset of features for classifying data using a learning machine (2012-02-28),

9. 8095483 - Support vector machine—recursive feature elimination (SVM-RFE) (2012-01-10),

10. 8008012 - Biomarkers downregulated in prostate cancer (2011-08-30),

11. 7970718 - Method for feature selection and for evaluating features identified as significant for classifying data (2011-06-28),

12. 7921068 - Data mining platform for knowledge discovery from heterogeneous data types and/or heterogeneous data sources (2011-04-05),

13. 7890445 - Model selection for cluster data analysis (2011-02-15),

14. 7805388 - Method for feature selection in a support vector machine using feature ranking (2010-09-28),

15. 7797257 - System for providing data analysis services using a support vector machine for processing data received from a remote source (2010-09-14),

Title: Isabelle Guyon: A Pioneer in Cancer Prediction and Machine Learning

Introduction

Isabelle Guyon, based in Berkeley, CA, is a renowned inventor with an impressive portfolio of 25 patents. Her work primarily focuses on innovative methods for screening, predicting, and monitoring prostate cancer, showcasing her commitment to advancing medical research and technology.

Latest Patents

Among her latest contributions, one notable patent outlines a method for screening and predicting prostate cancer by measuring the expression levels of a combination of at least seven genes in patient samples. These samples can be sourced from prostate tissue, blood, semen, or urine, and a prediction score is generated based on the relative expression levels of these genes. This innovative approach aims to separate prostate cancer cases from normal instances effectively.

Another significant patent involves a recursive feature elimination method utilizing support vector machines. This technique identifies a crucial subset of features from a larger group, training a support vector machine with labeled training samples to assess and eliminate less significant features iteratively. The process continues until a manageable number of features remain, capable of accurately classifying the data into distinct categories.

Career Highlights

Isabelle has worked with various companies, including Health Discovery Corporation and Biowulf Technologies, LLC. Her expertise in machine learning and cancer research has established her as a prominent figure in her field. Her innovative patents reflect her dedication to enhancing the detection and treatment of prostate cancer, providing valuable tools for both clinicians and researchers.

Collaborations

Isabelle has collaborated with esteemed colleagues, such as Jason Edward Weston and Stephen D Barnhill. These partnerships have allowed her to expand her work and influence in the realms of medical research and technology, furthering her contributions to cancer prediction and analysis.

Conclusion

Isabelle Guyon's groundbreaking work in the areas of cancer prediction and machine learning has not only resulted in numerous patents but has also significantly impacted the medical community. Her innovative approaches and collaborations highlight her contributions to research and development, marking her as a leading inventor in the field.

Profile summary based on public USPTO records.