PATENT CLAIM ANALYSIS

Application Number: 16192553
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["506", "009000"]

Abstract:
The present invention provides methods, compositions and kits for the detection of Alzheimer's disease (AD) diagnostic biomarkers, for the diagnosis of AD, for the identification of a subject at risk for developing AD, and for the generation of patient-specific AD diagnostic biomarker profiles.

Claim (Index 17):
A method of generating a subject-specific, neurodegenerative disease-specific autoantibody profile, the method comprising:\n (a) obtaining an immunoglobulin-containing biological sample from a subject, (b) performing an assay to determine the presence or absence of autoantibodies in the biological sample, wherein the assay comprises:\n (i) contacting the biological sample with at least two autoantigens selected from the group consisting of cDNA clone MGC:31944 IMAGE:4878869; cDNA clone MGC:27152 IMAGE:4691630; and hematopoietic SH2 domain-containing protein (HSH2D), under conditions that allow immunocomplexes of each of the at least two autoantigens and a corresponding autoantibody to form; and \n (ii) detecting the presence or absence of the immunocomplexes in the biological sample; and \n (c) generating a subject-specific neurodegenerative disease-specific autoantibody profile of the disease diagnostic autoantibodies present in the biological sample.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 98.0
- Lexical Diversity: 1.54545
- Patent Class: 506.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14232347', '13697601', '14237966', '15041573', '12935210']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5671434758658743
- 35 USC 102 Novelty (BERT): 0.5886907721495647
- Combined Prediction Score: 0.5692982054942434
- Mean Citation Score: 368.273684
- Max Citation Score: 525.25385
- Similarity Product: 401.62529996046135

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