Royalty Report: Cancer, Diagnostic, Medical – Collection: 4014

$100.00

Curated Royalty Rate Report
Created On: 2020-07-15, Record Count: 5

Description

This collection of transactions and supporting information was developed using our AI algorithm to curate similar royalty reports into a cohesive collection to support your licensing, transfer pricing or other transaction scenarios where documented royalty rates and/or deal terms are important.
Created On: 2020-07-15
Record Count: 5

Primary Industries

  • Cancer
  • Diagnostic
  • Medical
  • Drugs
  • Disease
  • Biotechnology
  • Software
  • Medical Info
  • Computers & Office Equipment
  • Device

IPSCIO Report Record List

Below you will find the records curated into this collection.  This summary includes the complete licensed property description so that you can review and determine if this collection covers the topics, technology or transaction type that is relevant for your needs.  The full report will include all relevant deal data such as the royalty base, agreement date, term description, royalty rates and other deal terms.  For reference, here is a sample of a full IPSCIO curated royalty rate report: Sample Report

IPSCIO Record ID: 4014

License Grant
Licensor hereby grants to Licensee a co-exclusive sublicense to utilize the Licensed Patent Rights to the extent necessary to enable Licensee to perform its obligations to develop the Product(s) and perform the Validation Work under the Development Agreement (the “Development License”).
License Property
Licensor is the owner of intellectual property, including patents, pending and issued, and know-how, all relating to support vector machine (“SVM”) and other learning machine technology, based upon which it has developed, or is engaged in developing, applications including, inter alia, digital image analysis, biomarker discovery, and gene- and protein-based diagnostic and prognostic testing

Machine learning is a type of artificial intelligence that enables the development of algorithms and techniques that allow computers to learn.

Licensed Patent Rights:
U.S. Patent No. 6,128,608
Enhancing Knowledge Discovery Using Multiple Support Vector Machines

U.S. Patent No. 6,157,921
Enhancing Knowledge Discovery Using Support Vector Machines in a Distributed Network Environment

U.S. Patent No. 6,427,141
Enhancing Knowledge Discovery Using Multiple Support Vector Machines.

U.S. Patent No. 6,658,395
Enhancing Knowledge Discovery from Multiple Data Sets Using Multiple Support Vector Machines.

U.S. Patent No. 6,714,925
System for Identifying Patterns in Biological Data Using a Distributed Network.

U.S. Patent No. 6,760,715
Enhancing Biological Knowledge Discovery Using Multiple Support Vector Machines.

U.S. Patent No. 6,789,069
Method of Identifying Patterns in Biological Systems and Method of Uses.

U.S. Patent No. 6,882,990
Method of Identifying Biological Patterns Using Multiple Data Sets.

U.S. Patent No. 6,944,602
Spectral Kernels for Learning Machines

U.S. Patent No. 6,996,542
Computer-Aided Image Analysis

U.S. Patent No. 7,117,188
Methods of Identifying Patterns in Biological Systems and Uses Thereof

U.S. Patent No. 7,299,213
Method of Using Kernel Alignment to Extract Significant Features from a Large Dataset

U.S. Patent No. 7,318,051
Methods for Feature Selection in a Learning Machine

U.S. Patent No. 7,353,215
Kernels and Methods for Selecting Kernels for Use in a Learning Machine

U.S. Patent No. 7,383,237
Computer-Aided Image Analysis

U.S. Patent No. 7,444,308
Data Mining Platform for Bioinformatics and Other Knowledge Discovery

U.S. Patent No. 7,475,048
Pre-Processed Feature Ranking for a Support Vector Machine

U.S. Patent No. 7,542,947
Data Mining Platform for Bioinformatics and Other Knowledge Discovery

U.S. Patent No. 7,542,959
Feature Selection Using Support Vector Machine Classifier

U.S. Patent No. 7,617,163
Kernels and Kernel Methods for Spectral Data

U.S. Patent No. 7,624,074
Methods for Feature Selection in a Learning Machine

U.S. Patent Publication No. 2005/0165556
Colon Cancer-Specific Markers

U.S. Application No. 11/926,129
System for Providing Data Analysis Services Using a Support Vector Machine for Processing Data Received from a Remote Source

U.S. Patent Publication No. 2008/0301070
Kernels and Methods for Selecting Kernels for Use in a Learning Machine

U.S. Patent Publication No. 2005/0071140
Model Selection for Cluster Data Analysis

U.S. Patent Publication No. 2008/0140592
Model Selection for Cluster Data Analysis

U.S. Patent Publication No. 2008/0097938
Data Mining Platform for Knowledge Discovery from Heterogeneous Data Types and/or Heterogeneous Data Sources

U.S. Patent Publication No. 2008/0097940
Kernels and Kernel Methods for Spectral Data

U.S. Patent Publication No. 2008/0233576
Method for Feature Selection in a Support Vector Machine Using Feature Ranking

U.S. Application No. 12/367,541
Method and System for Analysis of Flow Cytometry Data Using Support Vector Machines

WIPO Application No. PCT/US09/33504
Method and System for Analysis of Flow Cytometry Data Using Support Vector Machines

IPSCIO Record ID: 3784

License Grant
Licensor hereby grants to Licensee an exclusive License to the Licensed Technology, including the right to make, have made, use, import, distribute, and sell any Licensed Product in the Field of Use within the Licensed Territory.
License Property
Licensor has certain patent rights and technology covering systems and methods for enhancing knowledge discovered from data using learning machines in general and Support Vector Machines (SVM).

“Licensed Product” shall mean a product, including, but not limited to, devices, diagnostic kits, prognostic kits, test reagents, research reagents, proprietary compositions, substances, methods, documentation, software, services or a part thereof, the manufacture, use, sale, offer to sell, importation, distribution, or transfer.

Licensor developed a superior breast cancer prognostic test using the licensor's support vector machine (SVM) technology.  The work will be done in collaboration with a medical Cancer Center.  

Patent/Application No.

Title

U.S. Patent No. 6,128,608

Enhancing Knowledge Discovery Using Multiple Support Vector Machines

U.S. Patent No. 6,157,921

Enhancing Knowledge Discovery Using Support Vector Machines in a Distributed Network Environment

U.S. Patent No. 6,427,141

Enhancing Knowledge Discovery Using Multiple Support Vector Machines.

U.S. Patent No. 6,658,395

Enhancing Knowledge Discovery from Multiple Data Sets Using Multiple Support Vector Machines.

U.S. Patent No. 6,714,925

System for Identifying Patterns in Biological Data Using a Distributed Network.

U.S. Patent No. 6,760,715

Enhancing Biological Knowledge Discovery Using Multiple Support Vector Machines.

U.S. Patent No. 6,789,069

Method of Identifying Patterns in Biological Systems and Method of Uses.

U.S. Patent No. 6,882,990

Method of Identifying Biological Patterns Using Multiple Data Sets.

U.S. Patent No. 6,944,602

Spectral Kernels for Learning Machines

U.S. Patent No. 6,996,542

Computer-Aided Image Analysis

U.S. Patent No. 7,117,188

Methods of Identifying Patterns in Biological Systems and Uses Thereof

U.S. Patent No. 7,299,213

Method of Using Kernel Alignment to Extract Significant Features from a Large Dataset

U.S. Patent No. 7,318,051

Methods for Feature Selection in a Learning Machine

U.S. Patent No. 7,353,215

Kernels and Methods for Selecting Kernels for Use in a Learning Machine

U.S. Patent No. 7,383,237

Computer-Aided Image Analysis

U.S. Patent Publication No. 2008/0059392

System for Providing Data Analysis Services Using a Support Vector Machine for Processing Data Received from a Remote Source

U.S. Patent Publication No. 2008/0033899

Feature Selection Using Support Vector Machine Classifier

U.S. Application No. 11/929,213

Methods for Feature Selection in a Learning Machine

U.S. Patent Publication No. 2005/0071140

Model Selection for Cluster Data Analysis

U.S. Patent Publication No. 2008/0140592

Model Selection for Cluster Data Analysis

U.S. Patent Publication No. 2006/0064415

Data Mining Platform for Bioinformatics

U.S. Patent Publication No. 2008/0097938

Data Mining Platform for Knowledge Discovery from Heterogeneous Data Types and/or Heterogeneous Data Sources

U.S. Patent Publication No. 2008/0097939

Data Mining Platform for Bioinformatics

U.S. Patent Publication No. 2005/0228591

Kernels and Kernel Methods for Spectral Data

U.S. Patent Publication No. 2008/0097940

Kernels and Kernel Methods for Spectral Data

U.S. Patent Publication No. 2005/0131847

Pre-Processed Feature Ranking for a Support Vector Machine

U.S. Application No. 11/928,784

Pre-Processed Feature Ranking for a Support Vector Machine

U.S. Application No. 11/929,354

Kernels and Methods for Selecting Kernels for Use in a Learning Machine

U.S. Provisional Application No. 61/027,416

Analysis of Flow Cytometry Data Using Support Vector Machines

Field of Use
“Field of Use” shall mean diagnostic, prognostic, or predictive tests related to breast cancer, and/or the choice of therapeutic agents for improving the clinical outcome of breast cancer, such tests based on data obtained from any source or analysis, including, but not limited to, biopsied breast tissue, plasma, imaging analysis, or other means of assessing a patient for breast cancer, whether invasive or noninvasive.

IPSCIO Record ID: 7158

License Grant
Licensor hereby grants to Licensee and its Affiliates, and Licensee accepts the licenses under the Licensed Technology to exclusively use, develop, make, have made, sell, offer to sell, modify, import and otherwise commercially exploit the Licensed Uses and the Licensed Products in the Licensed Territory including, but not limited to, as follows:
(1) an exclusive license for the use of the SVM Technology and the Licensed Patents in the Field in the Licensed Territory relating to Licensed Uses and Licensed Products; and

(2) an exclusive license to the Licensed Know-How in the Field in the Licensed Territory, including access to and use of the Computer Software that has been developed by or for Licensor or will be developed by or for the Licensor that may be applicable to Licensed Uses or Licensed Products; and

(3) an exclusive license for the use of Licensed Products in the Licensed Territory.
Sublicense Rights. Licensee may grant sublicenses under any of the licenses granted herein, to import, develop, make, have made, use, modify, offer for sale, and/or sell Licensed Products within the Field.

License Property
LICENSOR is the owner of intellectual property, including patents, pending and issued, and know-how relating to support vector machine and other machine learning technologies which is included within the “SVM Technology” (as defined below), based upon which it has developed, or is engaged in developing, applications including, inter alia, digital image analysis and interpretation, biomarker discovery, and gene/gene product-based and protein-based diagnostic, prognostic and predictive tests.

“SVM Technology” shall mean all technology and ownership claims related to support vector machines and other pattern-recognition algorithms (“SVM”), SVM-Recursive Feature Elimination (“RFE”), and Fractal Genomic Modelling (“FGM”) included in the Licensed Technology.

Licensor owns the Licensed Technology (as defined below), which includes inter alia, coverage of genomic biomarkers related to prostate cancer, pancreatic cancer, colon cancer and other cancers as well as certain interpretation methodologies and software associated with automated image analysis for cytogenetics and flow cytometry testing.

“IVD Test Kit” shall mean any kit or instrument manufactured for sale to third parties, which includes reagents and other supplies that enables such third party purchasers to perform in vitro diagnostic tests on biological samples or any instrument used therewith; provided that, any such IVD Test Kit must be approved by the U.S. Food and Drug Administration (“FDA”) for sales of the IVD Test Kit in the United States, or be approved by any other foreign regulatory bodies for sales of the IVD Test Kit in countries other than the United States. Notwithstanding the foregoing, any instruments sold in conjunction with or pursuant to Licenses E and F described in Sections 1.12.4 and 1.12.5 are excluded from the definition of IVD Test Kit.

“Laboratory Developed Test” shall mean any test, process or procedure used to test or assay any type of patient biological sample, the results of which would then normally be entered into the medical record of the patient providing such biological sample; provided, however, any test, process or procedure performed using an IVD Test Kit shall not be considered to be a Laboratory Developed Test.

“Plasma Prostate Cancer Test” shall mean any Laboratory Developed Test using genes, gene products, or other biomarkers present in blood plasma for differentiating clinically significant prostate cancer from other prostate conditions, including without limitation clinical laboratory testing and clinical trials, but expressly excluding manufacture of IVD Test Kits. For reference purposes, the license granted for the Plasma Prostate Cancer Test is identified as “License B”.

“Pancreatic Cancer Test” shall mean any Laboratory Developed Test using genes, gene products, or other biomarkers present in any type of biological sample for differentiating clinically significant pancreatic cancer from other pancreatic conditions, including without limitation clinical laboratory testing and clinical trials, but expressly excluding manufacture of IVD Test Kits. For reference purposes, the license granted for the Pancreatic Test is identified as “License C”.

“Colon Cancer Test” shall mean any Laboratory Developed Test using genes, gene products or other biomarkers for differentiating clinically significant colon cancer from other colon conditions, including without limitation clinical laboratory testing and clinical trials, but expressly excluding manufacture of IVD Test Kits. For reference purposes, the license granted for the Colon Cancer Test is identified as “License D”.

“Cytogenetics Interpretation System” shall mean any interpretive software and related technology for computer-aided karyotype analysis for genetic screening and detection of chromosomal abnormalities. For reference purposes, the license granted for the Cytogenetics Interpretation System is identified as “License E”.

“Flow Cytometry Interpretation System” shall mean interpretive software and related technology for computer-aided analysis of flow cytometry tests. For reference purposes, the license granted for the Flow Cytometry Interpretation System is identified as “License F”.

“Urine Prostate Cancer Test” shall mean any Laboratory Developed Test using genes, gene products, or other biomarkers present in urine samples for differentiating clinically significant prostate cancer from other prostate conditions, including without limitation clinical laboratory testing and clinical trials, but expressly excluding manufacture of IVD Test Kits. For reference purposes, the license granted for the Urine Prostate Cancer Test is identified as “License G”.

“Tissue Prostate Cancer Test” shall mean any Laboratory Developed Test using genes, gene products, or other biomarkers present in tissue samples for differentiating clinically significant prostate cancer from other prostate conditions, including without limitation clinical laboratory testing and clinical trials, but expressly excluding manufacture of IVD Test Kits. For reference purposes, the license granted for the Tissue Prostate Cancer Test is identified as “License H”.

Licensed Patents:
Patent/Application No.
Title
Filing Date/
Expires

Issue Date

Patent/Application No.
Title
Filing Date/
Expires

Issue Date

U.S. Patent No. 6,128,608
Enhancing Knowledge Discovery Using Multiple Support Vector Machines
05-01-1999/
5/1/2019

10/3/2000

U.S. Patent No. 6,157,921
Enhancing Knowledge Discovery Using Support Vector Machines in a Distributed Network Environment
05-01-1999/
5/1/2019

12/5/2000

U.S. Patent No. 6,427,141
Enhancing Knowledge Discovery Using Multiple Support Vector Machines.
05-09-2000/
5/1/2019

7/30/2002

U.S. Patent No. 6,658,395
Enhancing Knowledge Discovery from Multiple Data Sets Using Multiple Support Vector Machines.
05-24-2000/
5/1/2019

12/2/2003

U.S. Patent No. 6,714,925
System for Identifying Patterns in Biological Data Using a Distributed Network.
08-07-2000/
5/1/2019

3/30/2004

U.S. Patent No. 6,760,715
Enhancing Biological Knowledge Discovery Using Multiple Support Vector Machines.
08-07-2000/
5/1/2019

7/6/2004

U.S. Patent No. 6,789,069
Method of Identifying Patterns in Biological Systems and Method of Uses.
08-07-2000/
4/13/2020

9/7/2004

U.S. Patent No. 6,882,990
Method of Identifying Biological Patterns Using Multiple Data Sets.
08-07-2000/
5/1/2019

4/19/2005

U.S. Patent No. 6,944,602
Spectral Kernels for Learning Machines
03-01-2002/
2/19/2023

9/13/2005

U.S. Patent No. 6,996,549
Computer-Aided Image Analysis
01-23-2002/
4/21/2021

2/7/2006

U.S. Patent No. 7,117,188
Methods of Identifying Patterns in Biological Systems and Uses Thereof
01-24-2002/
3/9/2022

10/3/2006

U.S. Patent No. 7,299,213
Method of Using Kernel Alignment to Extract Significant Features from a Large Dataset
09-12-2005/
3/1/2022

11/20/2007

U.S. Patent No. 7,318,051
Methods for Feature Selection in a Learning Machine
11-18-2003/
2/25/2021

1/8/2008

U.S. Patent No. 7,353,215
Kernels and Methods for Selecting Kernels for Use in Learning Machines
11-07-2003/
1/27/2023

4/1/2008

U.S. Patent No. 7,383,237
Computer-Aided Image Analysis
02-06-2006/
11/4/2019

6/3/2008

U.S. Patent No. 7,444,308
Data Mining Platform for Bioinformatics and Other Knowledge Discovery
12-15-2003/
5/28/2022

10/28/2008

U.S. Patent No. 7,475,048
Pre-Processed Feature Ranking for a Support Vector Machine
05-07-2004/
7/22/2021

1/6/2009

U.S. Patent No. 7,542,947
Data Mining Platform for Bioinformatics and Other Knowledge Discovery
10-30-2007/
5/20/2022

6/2/2009

U.S. Patent No. 7,542,959
Feature Selection Method Using Support Vector Machine Classifier
08-21-2007/
8/7/2020

6/2/2009

U.S. Patent No.  7,617,163
Kernels and Kernel Methods for Spectral Data
10-09-2002/

11/10/2009

U.S. Patent No. 7,624,074
Methods for Feature Selection in a Learning Machine
10-30-2007/
8/7/2020

11/24/2009

U.S. Patent No. 7,676,442
Selection of Features Predictive of Biological Conditions Using Protein Mass Spectrographic Data
10-30-2007/
8/7/2020

3/9/2010

U.S. Patent No. 7,788,193
Kernels and Methods for Selecting Kernels for Use in Learning Machines
10-30-2007/
8/6/2023

8/31/2010

U.S. Patent No. 7,797,257
System for Providing Data Analysis Services Using a Support Vector Machine for Processing Data Received from a Remote Source
10-31-2007/
7/28/2020

9/14/2010

U.S. Patent No. 7,805,388
Method for Feature Selection in a Support Vector Machine Using Feature Ranking
10-30-2007/
8/7/2020

9/28/2010

U.S. Patent No. 7,890,445
Model Selection for Cluster Data Analysis
10-30-2007/
6/8/2024

12/15/2011

U.S. Patent No.  7,921,068
Data Mining Platform for Knowledge Discovery from Heterogeneous Data Types and/or Heterogeneous Data Sources
10-30-2007/
5/20/2022

4/5/2011

U.S. Patent No.  7,970,718
Method for Feature Selection and for Evaluating Features Identified as Significant for Classifying Data
09-26-2010/
1/24/2022

6/28/2011

U.S. Patent No.  8,008,012
Biomarkers Downregulated in Prostate Cancer
09-30-2008/
1/13/2026

8/30/2011

U.S. Patent  No. 8,095,483
Support Vector Machine-Recursive Feature Elimination (SVM-RFE)
12-01-2010/
8/7/2020

1/10/2012

U.S. Patent Publ. No. 2005/0165556
Colon Cancer-Specific Biomarkers
01-11-2005/
08-07-2020 + PTA

U.S. Patent Publ. No. 2010/0256988
System for Providing Data Analysis Services Using a Support Vector Machine for Processing Data Received from a Remote Source
06-11-2010/
5/1/2019

U.S. Patent Publ. No. 2011/0106735
Recursive Feature Elimination Method Using Support Vector Machines
11/11/2010
08-07-2020 + PTA

U.S.Patent Publ. No. 2010/0318482
Kernels for Identifying Patterns in Datasets Containing Noise or Transformation Invariances
08-25-2010/
05-07-2022 + PTA

U.S.Patent Publ. No. 2011/0184896
Method for Visualizing Feature Ranking of a Subset of Features for Classifying Data Using a Support Vector Machine
04-04-2011/
05-20-2022  PTA

U.S. Patent Publ. No. 2010/0205124
Support Vector Machine-Based Method for Analysis of Spectral Data
02-04-2010/
08-07-2020 + PTA

U.S.Patent Publ. No. 2011/0125683
Identification of Co-Regulation Patterns by Unsupervised Cluster Analysis of Gene Expression Data
02-02-2011/
05-17-2022 + PTA

U.S. Patent Publication No. 2009/0204557
Method and System for Analysis of Flow Cytometry Data Using Support Vector Machines
02-08-2009/
02-08-2029 + PTA

U.S. Patent Publication No. 2008/0050836
Biomarkers for Screening, Predicting, and Monitoring Benign Prostate Hyperplasia
07-26-2007/
11-14-2025 + PTA

U.S. Patent Publication No. 2009/0215024
Biomarkers Upregulated in Prostate Cancer
02-04-2008/
11-14-2025 + PTA

U.S. Patent Publication No. 2009/0286240
Biomarkers Overexpressed in Prostate Cancer
09-30-2008/
11-14-2025 + PTA

U.S. Patent Publication No. 2009/0215058
Methods for Screening, Predicting and Monitoring Prostate Cancer
12-04-2008/
11-14-2025 + PTA

U.S. Patent Publication No. 2009/0226915
Methods for Screening, Predicting and Monitoring Prostate Cancer
01-06-2009/
11-14-2025 + PTA

U.S.Patent Publication No.  2011/0312509
Biomarkers Downregulated in Prostate Cancer
08-29-2011/
11-14-2025 + PTA

U.S. Patent No. 6,920,451
Method for the Manipulation, Storage, Modeling, Visualization and Quantification of Datasets
01-19-2001/
6/9/2021

7/19/2005

U.S. Patent No. 7,366,719
Method for the Manipulation, Storage, Modeling, Visualization and Quantification of Datasets
10-06-2004/

4/29/2008

Field of Use
“Field” or “Field of Use” shall mean the fields of laboratory testing, molecular diagnostics, clinical pathology, anatomic pathology, and digital image analysis, excluding non-pathology-related radiologic and photographic image analysis, relating to the development, marketing, production or sale of any Laboratory Developed Tests or other products used for diagnosing, ruling out, predicting a response to treatment, and/or monitoring treatment of any or all hematopoietic and solid tumor cancers excluding cancers affecting the retina and breast cancer; provided, however, the manufacture and sale of IVD Test Kits for sales to third parties and the melanoma screening system and methods described in the patent applications listed in Exhibit D are specifically excluded from the Field or Field of Use; and provided further that the foregoing exclusion of “and breast cancer” immediately prior to the first proviso of this section shall be in effect only so long as the License Agreement among and between LICENSOR.

The Licensee is a high-complexity CLIA-certified clinical laboratory that specializes in cancer genetics diagnostic testing. The Licensee's testing services include cytogenetics, fluorescence in-situ hybridization (FISH), flow cytometry, immunohistochemistry, morphology studies, anatomic pathology and molecular genetic testing. Headquartered in Fort Myers, FL, The Licensee services the needs of pathologists, oncologists, urologists and other clinicians, and hospitals throughout the United States.

IPSCIO Record ID: 25971

License Grant
The Company was assigned a patent License Agreement with the Licensor. The patent License Agreement was associated with the patents acquired July 30, 2004.
License Property
Our acquired SVM Portfolio utilizes technology covered by the original hyperplane patent (Pat. No. 5,649,068) invented by members of our Scientific Advisory Board and owned by the Licensor.

The Company is a biotechnology-oriented company that has acquired certain patents and has patent pending applications for certain machine learning tools used for diagnostic and drug discovery.

Field of Use
Machine learning is a type of artificial intelligence that enables the development of algorithms and techniques that allow computers to learn.
Pattern recognition is machine learning with a wide spectrum of applications including medical diagnosis, bioinformatics, classifying DNA sequences, detecting credit card fraud, stock market analysis, object recognition in computer vision, and robot locomotion.

IPSCIO Record ID: 6506

License Grant
Licensor grants a non-exclusive license, with the right to grant sublicenses to Affiliates, and, upon prior approval by Licensor, to third parties under the Licensed Technology to import, make, have made, use and sell any Licensed Product with respect to both the commercial reference laboratory field and the academic and research fields.
License Property
The Parties are working on development of a new molecular diagnostic test for prostate cancer based on our discovered prostate cancer biomarker signature.

7,117,188 Method of Identifying Patterns in Biological Systems and Uses Thereof
U.S. 2007/0092917 Biomarkers for Screening, Predicting, and Monitoring Prostate Disease

Disclaimer: The information gathered from RoyaltySource® database was sourced from the U.S. Securities and Exchange Commission EDGAR Filings and other public records. While we believe the sources to be reliable, this does not guarantee the accuracy or completeness of the information provided. Further, the information is supplied as general guidance and is not intended to represent or be a substitute for a detailed analysis or professional judgment. This information is for private use only and may not be resold or reproduced without permission.