Transcriptomic analysis identifies disease severity and therapeutic response for dermatological condition

Gene expression data analysis with machine learning models accurately identifies patient subsets and predicts therapeutic responses in chronic and autoimmune diseases, addressing heterogeneity and enabling precise personalized treatment.

WO2025250602A1 Publication Date: 2025-12-04AMPEL BIOSOLUTIONS LLP
5 Cites 1 Cited by

Patent Information

Application Number
PCT/US2025/031147
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-05-29
Filing Date
2025-05-28
Publication Date
2025-12-04

AI Technical Summary

Technical Problem

Existing methods for determining disease progression and therapeutic response in chronic, inflammatory, and autoimmune diseases are heterogeneous and lack precision, making it difficult to develop targeted personalized therapies.

Method used

Utilizing gene expression data analysis through microarrays, RNA-Seq, or qPCR, combined with machine learning models, to identify patient subsets and predict disease severity and therapeutic response by comparing gene expression profiles to reference data, enabling accurate identification of immunological states and treatment effectiveness.

Benefits of technology

Achieves an accuracy of at least 70% in identifying patient immunological states and disease susceptibility, predicting treatment responses to immunomodulators, and determining treatment effectiveness, facilitating personalized treatment strategies.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

Provided herein are systems and methods for identifying a disease or disorder of a patient, identifying if a patient is likely to respond to a treatment for the disease or disorder, and / or predicting the clinical outcome of the disease or disorder of a patient. Systems and methods described herein may be directed to patients with different chronic conditions, inflammatory conditions, and / or autoimmune conditions. Systems and methods described herein may be directed to patients with a dermatological condition.
Need to check novelty before this filing date? Find Prior Art