Changeflow GovPing Telecom & Technology Humana Granted US Patent for ML Data Processing...
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Humana Granted US Patent for ML Data Processing Platform

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Summary

The USPTO granted Patent US12608645B1 to Humana Inc. on April 21, 2026, covering a machine learning platform for agile model development and standardized data processing. The patent application was filed on May 23, 2022, under Application No. 17751569, with 10 claims allowed.

Published by USPTO on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

What changed

USPTO issued Patent US12608645B1 to Humana Inc. for a machine learning platform that coordinates and standardizes model training and deployment to reduce redundancy. The system reformats and de-sensitizes data for feature generation, storing features in centralized locations accessible to all models.

Affected parties include technology companies and healthcare organizations developing or licensing ML platforms for data processing. The patent establishes enforceable IP rights that could influence competitive positioning in healthcare analytics and may affect licensing negotiations for similar ML pipeline technologies.

Archived snapshot

Apr 21, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← USPTO Patent Grants

Machine learning platform and pipeline for efficient data processing

Grant US12608645B1 Kind: B1 Apr 21, 2026

Assignee

Humana Inc.

Inventors

Keegan Nesbitt, David Christopher Mack, Rajagopal Subramanian, Brent Sundheimer, Xinyu Liu, Suresh Venkatesan, Suresh Siva

Abstract

A system enables agile model development to speed up innovation by data scientists. Model training and deployment are coordinated and standardized to reduce redundancy. Data is obtained for feature generation and reformatted and de-sensitized for storage. The features are stored in locations available to all models and training modules of a system so data does not need to be adjusted for new models. To generate a machine learning model, the system establishes a cohort for evaluation by the model. A model template and features for use by the model are identified. The selected template and features are used for experimentation and evaluation. Model training artifacts, such as model weights are subsequently recorded in a model store and the model scripts and settings can then be registered in a centralized database where it can be accessed for execution.

CPC Classifications

G06N 20/00 G06F 8/33 G06F 8/35 G06F 8/36 G06F 11/3428

Filing Date

2022-05-23

Application No.

17751569

Claims

10

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Last updated

Classification

Agency
USPTO
Published
April 21st, 2026
Instrument
Rule
Branch
Executive
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12608645B1

Who this affects

Applies to
Technology companies Healthcare providers
Industry sector
5112 Software & Technology
Activity scope
Patent grants Machine learning Data processing platforms
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Healthcare

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