PATENT CLAIM ANALYSIS

Application Number: 16108431
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["514", "456000"]

Abstract:
Antioxidative stress compositions, methods of using antioxidative stress composition and methods of preparing antioxidative stress composition compositions are described. The antioxidative stress compositions may be chemopreventive and/or immunomodulatory. Resveratrol, genistein, ellagic acid, curcumin and quercetin may be included in the antioxidative stress composition compositions individually or in any combination.

Claim (Index 80):
A dog biscuit comprising an effective amount of a composition comprising at least three active agents to provide a statistically significant increase in a number of monocytes after administration to a dog and, after once-a-day or twice-a-day administration of the dog biscuit to the dog for three weeks, provide:\n (i) a serum level of trans-resveratrol-4\u2032-sulfate of from about 8.9 \u03bcg/ml to about 355 \u03bcg/ml; (ii) a serum level of trans-resveratrol-3-sulfate of from about 84.9 \u03bcg/ml to about 3397 \u03bcg/ml; (iii) a serum level of cis-resveratrol-3-sulfate of from about 2.7 \u03bcg/ml to about 108 \u03bcg/ml; and (iv) a serum level of resveratrol sulfate total of from about 36.7 \u03bcg/ml to about 1467 \u03bcg/ml.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 1.69697
- Patent Class: 514.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12955810', '10260609', '14345689', '14691320', '13290752']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6899418704791426
- 35 USC 102 Novelty (BERT): 0.5185103020818128
- Combined Prediction Score: 0.6727987136394096
- Mean Citation Score: 184.86114200000003
- Max Citation Score: 196.90645
- Similarity Product: 104.43316767176093

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

Dataset: test