PATENT CLAIM ANALYSIS

Application Number: 16184499
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["435", "007320"]

Abstract:
The present application concerns a method for identifying the nature of a bacterial infection from a peritoneal sample, in particular, whether it is a Gram-negative or Gram-positive infection, based upon the determination of one or more cellular and/or humoral markers in a sample.

Claim (Index 1):
A method for treating an individual suffering from a peritoneal Gram-positive bacterial infection comprising:\n (a) obtaining a peritoneal sample from the individual; (b) examining said peritoneal sample in order to determine the amount of CXCL10 and the amount of total CD4 +  T cell numbers; and (c) where the amount of CXCL10 is increased relative to the amount of CXCL10 in a control sample from an individual not having a Gram-positive bacterial infection and the amount of total CD4 +  T cell numbers is increased relative to the amount of CD4 +  T cell numbers in a control sample from an individual not having a Gram-positive bacterial infection, concluding that the individual from whom the peritoneal sample has been taken has a Gram-positive bacterial infection; and (d) administering to the individual to be treated a therapeutic for treating the Gram-positive bacterial infection.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 98.0
- Lexical Diversity: 1.34286
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14775738', '14372629', '15031610', '13264255', '09889324']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5341825008942904
- 35 USC 102 Novelty (BERT): 0.6182898511629313
- Combined Prediction Score: 0.5425932359211545
- Mean Citation Score: 300.711336
- Max Citation Score: 602.1517299999998
- Similarity Product: 487.2546410279231

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

Dataset: test