PATENT CLAIM ANALYSIS

Application Number: 15993589
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-01
Patent Classification: ["435", "007100"]

Abstract:
Disclosed herein are methods that aid in the diagnosis and evaluation of a human subject that has sustained or may have sustained an injury to the head, such as mild or moderate, severe, or moderate to severe traumatic brain injury (TBI), using cTnI. Also disclosed are methods for determining whether to perform a head computerized tomography on a subject by detecting levels of cTnI. Finally, also disclosed are methods of outcome in subjects suffering from a mild TBI.

Claim (Index 1):
A method for evaluating a human subject for mild traumatic brain injury in a human subject, the method comprising:\n a) performing an assay on a sample obtained from the subject within about 24 hours after an actual or suspected injury to the head to measure or detect a level of cardiac troponin I (cTnI); and b) determining whether the subject has sustained a mild or a moderate to severe traumatic brain injury (TBI), wherein the subject is determined as having (1) a moderate, severe, or moderate to severe traumatic brain injury when the level of cTnI in the sample is higher than a reference level of cTnI or (2) a mild traumatic brain injury when the level of cTnI in the sample is lower than a reference level of cTnI.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 93.0
- Lexical Diversity: 1.57143
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14449093', '15570982', '14871232', '14537642', '14406400']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5679104746741781
- 35 USC 102 Novelty (BERT): 0.5295038801813952
- Combined Prediction Score: 0.5640698152248999
- Mean Citation Score: 296.997162
- Max Citation Score: 334.79672
- Similarity Product: 213.2360845084572

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

Dataset: test