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 10):
The method of  claim 9 , wherein, if the subject is identified as having, or being at risk for having, the at least one neurodegenerative disease, the subject is further treated for the at least one neurodegenerative disease.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 98.0
- Lexical Diversity: 1.54545
- Patent Class: 506.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14232347', '13697601', '14237966', '15041573', '12935210']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6089310121602778
- 35 USC 102 Novelty (BERT): 0.5586628878317742
- Combined Prediction Score: 0.6039041997274275
- Mean Citation Score: 368.273684
- Max Citation Score: 525.25385
- Similarity Product: 256.1164846884877

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