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 9):
A method of identifying a subject as having, or being at risk for having, a neurodegenerative disease, the method comprising\n (a) obtaining an immunoglobulin-containing biological sample from the 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, \n wherein, if autoantibodies to the at least two autoantigens are present in the biological sample, the subject is identified as having, or being at risk for having, at least one neurodegenerative disease selected from the group consisting of Alzheimer's Disease, Parkinson's Disease, and vascular dementia.

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): 0.5674868633129508
- 35 USC 102 Novelty (BERT): 0.5878582502705749
- Combined Prediction Score: 0.5695240020087133
- Mean Citation Score: 368.273684
- Max Citation Score: 525.25385
- Similarity Product: 397.83686494079234

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