Systems and Methods for Identifying Predictive Parameters Based on Clinical Studies
Summary
USPTO published patent application US20260112462A1 on April 23, 2026, filed February 6, 2023 under application number 18164877. The invention by inventors Andrew Busey, Amicia Devin Elliott, and Claire Aldridge discloses a system and method for identifying predictive parameters based on clinical study results using AI/machine learning to analyze biological and historical parameters across subject subsets. CPC classifications G16H 10/20 (health informatics) and G06N 20/00 (machine learning) indicate healthcare and AI applications.
“A system and method for identifying predictive parameters based on results of clinical studies are disclosed.”
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GovPing monitors USPTO Patent Applications - Health Informatics (G16H) for new healthcare & life sciences regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 146 changes logged to date.
What changed
USPTO published patent application US20260112462A1 disclosing systems and methods for identifying predictive parameters based on results of clinical studies. The invention involves obtaining clinical information from subjects administered an intervention, identifying subject subsets based on responses, analyzing biological and historical parameter values to find commonalities within identified subsets, and providing parameters identified as predictive. The system classifies under CPC codes G16H 10/20 (digital data processing for patient records) and G06N 20/00 (machine learning).
For pharmaceutical manufacturers, medical device companies, and clinical research organizations, this patent application indicates potential intellectual property considerations for AI-driven clinical data analytics and predictive biomarker identification systems. Companies developing similar machine learning approaches for clinical study analysis should review for potential freedom-to-operate implications.
Archived snapshot
Apr 23, 2026GovPing 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.
SYSTEMS AND METHODS FOR IDENTIFYING PREDICTIVE PARAMETERS BASED ON RESULTS OF CLINICAL STUDIES
Application US20260112462A1 Kind: A1 Apr 23, 2026
Inventors
Andrew Busey, Amicia Devin Elliott, Claire Aldridge
Abstract
A system and method for identifying predictive parameters based on results of clinical studies are disclosed. Exemplary implementations may: obtain clinical information that includes responses by individual subjects of a first set of subjects to being administered a first intervention; identify subsets of individual subjects within the first set of subjects based on the responses; obtain subject information for the individual subjects of the first set of subjects, the subject information including parameter values for one or more biological parameters and historical parameters; identify commonality of parameter values for individual parameters included in the subject information within the individual identified subsets; provide the parameters for which commonality of parameter values within the subsets are identified; and/or other exemplary implementations.
CPC Classifications
G16H 10/20 G06N 20/00
Filing Date
2023-02-06
Application No.
18164877
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