PATENT CLAIM ANALYSIS

Application Number: 16282120
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-07
Patent Classification: ["424", "145100"]

Abstract:
Methods are disclosed for treating osteoarthritis in a human subject in need thereof, comprising administering to the subject a therapeutically effective amount of an anti-human NGF antibody, or antigen-binding fragment thereof, wherein at least one symptom associated with osteoarthritis is prevented, ameliorated or improved.

Claim (Index 29):
A method of treating pain associated with an NGF-related condition or disease wherein said pain is inhibited, ameliorated, or reduced by inhibition of NGF, comprising:\n injecting a subject suffering from pain with an injectable formulation, comprising: a polysorbate; a diluent; and 0.01 to 20 mg/kg body weight of the subject of a human antibody or antigen-binding fragment thereof which specifically binds human nerve growth factor (NGF), wherein the antibody or antigen-binding fragment thereof comprises a.) a heavy chain CDR1 (HCDR1) domain comprising SEQ ID NO: 86, a heavy chain CDR2 (HCDR2) domain comprising SEQ ID NO: 88, and a heavy chain CDR3 (HCDR3) domain comprising SEQ ID NO: 90; and b.) a light chain CDR1 (LCDR1) domain comprising SEQ ID NO: 94; a light chain CDR2 (LCDR2) domain comprising SEQ ID NO: 96, and a light chain CDR3 (LCDR3) domain comprising SEQ ID NO: 98.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 99.0
- Lexical Diversity: 1.225
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14038349', '13648477', '12888751', '15144574', '12188330']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7857275472228861
- 35 USC 102 Novelty (BERT): 0.6135822294693304
- Combined Prediction Score: 0.7685130154475305
- Mean Citation Score: 529.2572640000002
- Max Citation Score: 573.95435
- Similarity Product: 489.395647795108

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