PATENT CLAIM ANALYSIS

Application Number: 15765644
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["435", "006160"]

Abstract:
Disclosed are methods for diagnosing Parkinson's disease, or identifying a risk of developing Parkinson's disease, comprising measuring the amount of a biomolecule in a blood sample, liver sample, or hepatocyte. Also disclosed are methods for preventing or treating Parkinson's disease, comprising administering a therapeutically effective plurality of hepatocytes to a subject in need thereof.

Claim (Index 16):
A method for identifying a therapeutic agent for treating Parkinson's disease, comprising:\n (a) contacting a first hepatocyte with a compound or composition; (b) measuring the amount of a biomolecule produced by the first hepatocyte; (c) comparing the amount of the biomolecule produced by the first hepatocyte with an amount of the biomolecule produced by a control hepatocyte, wherein said control hepatocyte is from the same source as the first hepatocyte but has not been contacted with the compound or composition; and (d) identifying the compound or composition as a therapeutic agent for treating Parkinson's disease if the amount of the biomolecule produced by the first hepatocyte is different from the amount of the biomolecule produced by the control hepatocyte; wherein the first hepatocyte has a genotype or phenotype that is consistent with Parkinson's disease; the biomolecule is a protein or RNA; and the amount of the biomolecule produced by the first hepatocyte reflects a shift toward the amount of the biomolecule produced by a control hepatocyte with a genotype or phenotype that is consistent with the absence of Parkinson's disease.

Metadata:
- Claim Count in Document: 60.0
- Percentile: 91.0
- Lexical Diversity: 1.64103
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13086159', '10001267', '14596787', '10599518', '13818515']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5829635988303729
- 35 USC 102 Novelty (BERT): 0.4868504599126641
- Combined Prediction Score: 0.573352284938602
- Mean Citation Score: 197.87730800000003
- Max Citation Score: 213.39737
- Similarity Product: 152.5780582370531

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test