METHODS, SYSTEMS, AND COMPOSITIONS FOR CLASSIFICATION, PROGNOSIS, AND DIAGNOSIS OF CANCERS

Patent №

US 8,065,093

Granted

2011-11-22

Filed 2004

Owner

AGENCY FOR SCIENCE, TECHNOLOGY, AND RESEARCH

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10960414

The present invention provides methods, systems and compositions for predicting disease susceptibility in a patient. In some embodiments, methods for the classification, prognosis, and diagnosis of cancers are provided. In other embodiments, the present invention provides statistical methods for building a gene-expression-based classifier that may be employed for predicting disease susceptibility in a patient, for classifying carcinomas, and for the prognosis of clinical outcomes.

Machine learningPlanningC12Q 1/6886G16B 25/10G16H 50/20C12Q 2600/118C12Q 2600/158G16B 25/00Y02A 90/10

AI classification

Machine learning1.00
Planning0.90
Natural language0.21
AI hardware0.07
Vision0.05
Evolutionary computation0.01
Knowledge representation0.00
Speech0.00

Ownership

AGENCY FOR SCIENCE, TECHNOLOGY, AND RESEARCH

assignment · 167400963

Assignors

MILLER, LANCE D., GEORGE, JOSHY, VEGA, VINSENSIUS B.

On an employer assignment, the assignors are typically the inventors.

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