PATENT CLAIM ANALYSIS

Application Number: 16079059
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["514", "04400A"]

Abstract:
The present invention relates to methods of treating, preventing or managing intestinal fibrosis by inhibiting SMAD7. The invention is also directed to methods of monitoring effectiveness of treatment or management of intestinal fibrosis using a SMAD7 antisense oligonucleotide, as well as methods of regulating SMAD7 antisense oligonucleotide treatment, based on analysis of Transforming Growth Factor-β (TGF-β) levels, α-Smooth Muscle Actin (a-SMA) levels, and/or phosphorylated Mothers Against Decapentaplegic Homolog 3 (p-SMAD3) levels.

Claim (Index 126):
A method for treating, preventing or managing intestinal fibrosis in a patient having intestinal fibrosis, wherein the method comprises (a) administering to the patient an initial dose of a SMAD7 antisense oligonucleotide; (b) analyzing the level of \u03b1-SMA in the patient; and (c) if the level of \u03b1-SMA is above normal levels of \u03b1-SMA, then administering to the patient a subsequent dose that is greater than or equal to the initial dose, or, if the level of \u03b1-SMA is below normal levels of \u03b1-SMA, then administering to the patient a subsequent dose that is equal to or smaller than the initial dose.

Metadata:
- Claim Count in Document: 51.0
- Percentile: 96.0
- Lexical Diversity: 1.55556
- Patent Class: 514.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15063077', '16046389', '12854558', '14144029', '12264058']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7753495254654046
- 35 USC 102 Novelty (BERT): 0.5321884780861692
- Combined Prediction Score: 0.7510334207274811
- Mean Citation Score: 335.939554
- Max Citation Score: 336.40283
- Similarity Product: 243.8892526065028

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test