DETERMINING DRUG EFFECTIVENESS RANKING FOR A PATIENT USING MACHINE LEARNING

Patent №

US 11,721,441

Granted

2023-08-08

Filed 2019

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16248084

Computer based methods, systems, and computer readable media for intelligently accessing various types of pharmaceutical information in a content repository and ranking drugs at the variant level, gene level, and pathway level. In some cases, drugs that target the same gene, gene variant, or biological pathway may be ranked based upon in vitro, pre-clinical, clinical, or post-clinical evidence. To determine ranking of a plurality of drugs, information pertaining to drug administration is analyzed for the drugs. For a plurality of drugs, attributes corresponding to the drug are determined, wherein the attributes include a variant or a gene targeted by the drug, and a biological pathway comprising the targeted variant or gene. The plurality of drugs are ranked according to a drug effectiveness score based on one or more of a determined efficacy, potency, or toxicity.

Machine learningKnowledge representationPlanningEvolutionary computationG16H 70/40G16B 40/00G16B 50/00G16C 20/30G16H 20/10G16H 70/60G16C 20/70

AI classification

Machine learning0.98
Planning0.97
Knowledge representation0.93
Evolutionary computation0.77
Natural language0.40
AI hardware0.04
Vision0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 480130590

Assignors

EIFERT, CHERYL L., XU, JIA, HUETTNER, CLAUDIA S., WANG, FANG, MICHELINI, VANESSA, DEHAN, ELINOR

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

From the same owner

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