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 11):
The method of  claim 9 ,\n wherein the assay in (b) further comprises:\n contacting the biological sample with at least one additional autoantigen selected from the group consisting of cDNA clone MGC:32654 IMAGE:4701898 and cleavage and polyadenylation specific factor 3, 73kDa (CPSF3), under conditions that allow immunocomplexes of each of the at least one additional autoantigen and a corresponding autoantibody to form; and \n detecting the presence or absence of the corresponding immunocomplexes in the biological sample, and \n wherein, if the autoantibody/antibodies to the at least one additional autoantigen is/are further 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: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14232347', '13697601', '14237966', '15041573', '12935210']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6330155001970929
- 35 USC 102 Novelty (BERT): 0.5814041429876988
- Combined Prediction Score: 0.6278543644761535
- Mean Citation Score: 368.273684
- Max Citation Score: 525.25385
- Similarity Product: 370.9767864524008

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