PATENT CLAIM ANALYSIS

Application Number: 16390884
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["506", "012000"]

Abstract:
The present invention provides a rapid, sensitive method for forensic drug testing in a post-mortem subject or a live or a post-mortem animal using oral fluid collected from the post-mortem subject or live or post-mortem animal. The method comprises collecting a sample of oral fluid from a post-mortem subject or a live or a post-mortem animal, analyzing the oral fluid sample qualitatively to detect the presence of one or more non-naturally occurring drugs, analyzing the oral fluid sample quantitatively to determine concentration of the one or more non-naturally occurring drugs in the post-mortem subject or in the live or the post-mortem animal, and identifying the one or more non-naturally occurring drugs in the post-mortem subject or in the live or the post-mortem animal. The detection and quantification in oral fluid is more sensitive and faster than detection and quantification of the non-naturally occurring drugs in blood, urine, bile, and liver tissue collected from the same post-mortem subject. Further, the qualitative and quantitative results are obtained in as little as three hours.

Claim (Index 7):
The method of  claim 1 , wherein the sample of oral fluid that is collected is about 1 millimeter (mL).

Metadata:
- Claim Count in Document: 3.0
- Percentile: 100.0
- Lexical Diversity: 2.77273
- Patent Class: 506.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15164402', '15785703', '14744324', '14785608', '15466467']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6900289966232559
- 35 USC 102 Novelty (BERT): 0.6969977752426572
- Combined Prediction Score: 0.6907258744851961
- Mean Citation Score: 504.192554
- Max Citation Score: 720.5751
- Similarity Product: 718.2310813822747

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

Dataset: test