PATENT CLAIM ANALYSIS

Application Number: 16020346
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-06
Patent Classification: ["424", "009300"]

Abstract:
Provided are novel human tau-specific antibodies as well as fragments, derivatives and variants thereof as well as methods related thereto. Assays, kits, and solid supports related to antibodies specific for tau are also disclosed. The antibody, immunoglobulin chain(s), as well as binding fragments, derivatives and variants thereof can be used in pharmaceutical and diagnostic compositions for tau targeted immunotherapy and diagnosis, respectively.

Claim (Index 72):
A method of diagnosing or monitoring the progression of a neurodegenerative tauopathy, the method comprising:\n measuring the level of pathologically modified or aggregated tau in a sample from a human subject with an anti-tau antibody or tau-binding fragment thereof, wherein the anti-tau antibody or tau-binding fragment thereof comprises a VH comprising VH complementarity determining regions 1, 2, and 3 of the amino acid sequences set forth in any one of SEQ ID NO: 44 or 45; and a VL comprising VL complementarity determining regions 1, 2, and 3 of the amino acid sequences set forth in any one of SEQ ID NO:46, 221, or 222; and comparing the level of modified or aggregated tau to a reference standard that indicates the level of the pathologically modified or aggregated tau in one or more control subjects, wherein a difference or similarity between the level of pathologically modified or aggregated tau and the reference standard indicates that the human subject has a neurodegenerative tauopathy.

Metadata:
- Claim Count in Document: 95.0
- Percentile: 94.0
- Lexical Diversity: 1.59574
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14654176', '14532531', '13271118', '15343450', '15005948']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8254207178362408
- 35 USC 102 Novelty (BERT): 0.678909239679287
- Combined Prediction Score: 0.8107695700205455
- Mean Citation Score: 627.1500920000002
- Max Citation Score: 746.3702
- Similarity Product: 667.1303012332796

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