PATENT CLAIM ANALYSIS

Application Number: 15759484
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["514", "571000"]

Abstract:
The invention relates to a method for the diagnosis of non-alcoholic steatohepatitis (NASH), for determining the activity, the stage, or the severity of NASH or for classifying a subject as a potential receiver or non receiver of a treatment of NASH using circulating miRNAs and other blood circulating markers of liver damage, e.g. alpha 2 macroglobulin, HbA1c, N-terminal pro-peptide of collagen type III, miR-34 and miR-200. It also relates to a kit for implementing the method of the invention, and the compounds for use in a method for the treatment of NASH, wherein the subject to be treated is identified, evaluated or classified according to the method of the invention.

Claim (Index 11):
A method for calculating a NASH score which is indicative of non-alcoholic steatohepatitis (NASH), or of the activity, the stage, or the severity of NASH in a subject, wherein said score is based on the measure of at least one marker selected from the group consisting of (i), (ii) and (iii), and at least one marker selected from the group consisting of (iv) and (v) defined as follows:\n (i) alpha 2 macroglobulin (ii) glycated haemoglobin (HbA1c), fasting glucose level, fructosamine level (iii) N-terminal pro-peptide of collagen type III (iv) hsa-miR-34, hsa-miR-122 and hsa-miR-192 (v) hsa-miR-200.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 90.0
- Lexical Diversity: 1.92308
- Patent Class: 514.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15550416', '11855792', '15318646', '15320208', '13387314']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7924146776722816
- 35 USC 102 Novelty (BERT): 0.51247906548335
- Combined Prediction Score: 0.7644211164533884
- Mean Citation Score: 223.135226
- Max Citation Score: 241.80423
- Similarity Product: 138.23042156293272

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test