PATENT CLAIM ANALYSIS

Application Number: 16166272
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["514", "312000"]

Abstract:
The present specification discloses pharmaceutical compositions, methods of preparing such pharmaceutical compositions, and methods and uses of treating a chronic inflammation and/or an inflammatory disease in an individual using such pharmaceutical compositions.

Claim (Index 26):
A solid solution pharmaceutical composition comprising:\n a) an ibuprofen in an amount of about 25% to about 35% by weight of the pharmaceutical composition; b) one or more pharmaceutically-acceptable hard fats comprising one or more glycerolipids, the one or more pharmaceutically-acceptable hard fats in an amount of about 35% to about 45% by weight of the pharmaceutical composition; c) one or more pharmaceutically-acceptable liquid lipids comprising one or more monoglycerides, the one or more pharmaceutically-acceptable liquid lipids in an amount of about 8% to about 30% by weight of the pharmaceutical composition; and d) one or more liquid polyethylene glycol (PEG) polymers in an amount of about 9% to about 12% by weight of the pharmaceutical composition; wherein the solid solution pharmaceutical composition releases no more than 35% by weight of the ibuprofen when exposed to an aqueous environment.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 97.0
- Lexical Diversity: 1.4
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15794214', '15195623', '15061661', '14155108', '15195608']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.817542878008018
- 35 USC 102 Novelty (BERT): 0.6234835227735406
- Combined Prediction Score: 0.7981369424845702
- Mean Citation Score: 565.984908
- Max Citation Score: 582.304
- Similarity Product: 521.171995388031

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