PATENT CLAIM ANALYSIS

Application Number: 15987794
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["600", "416000"]

Abstract:
Methods and systems for determining whether brain tissue is indicative of a disorder, such as a neurodegenerative disorder, are provided. The methods and systems generally utilize data processing techniques to assess a level of congruence between measured parameters obtained from magnetic resonance imaging (MRI) data and simulated parameters obtained from computational modeling of brain tissues.

Claim (Index 14):
The method of  claim 13 , wherein the one or more microstructural models comprise measured or predicted values of a parameter selected from the group consisting of: cell density, cell shape, cell geometry, cell size, cell distribution, intercellular spacing, extracellular matrix homogeneity, interstitial tortuosity, water to protein ratio, water to lipid ratio, water to carbohydrate ratio, protein to lipid ratio, protein to carbohydrate ratio, and lipid to carbohydrate ratio.

Metadata:
- Claim Count in Document: 33.0
- Percentile: 93.0
- Lexical Diversity: 1.32609
- Patent Class: 600.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14385509', '13360714', '14869851', '15896344', '10532885']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5463524517829665
- 35 USC 102 Novelty (BERT): 0.4923959386961513
- Combined Prediction Score: 0.5409568004742851
- Mean Citation Score: 224.482724
- Max Citation Score: 232.2236
- Similarity Product: 148.8512518563032

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

Dataset: test