PATENT CLAIM ANALYSIS

Application Number: 15957457
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["424", "131100"]

Abstract:
The aspects disclosed herein describe methods of identifying a subject that is non-responsive to anti-TNF therapy. The aspects disclosed herein further provide for a method of selecting a therapy for a subject with Inflammatory Bowel Disease (IBD), and treating the subject with the therapy.

Claim (Index 12):
A method comprising:\n assaying to detect in a biological sample obtained from a subject with an inflammatory disease or condition, or fibrostenotic and/or fibrotic disease a level of antineutrophil cytoplasmic antibody (ANCA), a presence of a genetic risk variant comprising a risk allele at nucleobase 256 within rs5745994 of a gene locus TNFRSF1B, or a combination thereof; and identifying the subject as being non-responsive to anti-TNF therapy, or susceptible to non-response to anti-TNF therapy, provided (i) a level of ANCA that is at or above a first threshold level comprising about 100 ELISA units (EU), or (ii) a level of ANCA that is lower than the first threshold level and above a second threshold level comprising about 50 EU, and the presence of the genetic risk variant, are detected in the biological sample obtained from the subject.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 91.0
- Lexical Diversity: 1.48485
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13840779', '12851517', '15030790', '13322863', '15571734']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6643466364365158
- 35 USC 102 Novelty (BERT): 0.4772221875023585
- Combined Prediction Score: 0.6456341915431001
- Mean Citation Score: 146.174042
- Max Citation Score: 165.7468
- Similarity Product: 120.46587490234376

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

Dataset: test