PATENT CLAIM ANALYSIS

Application Number: 15911695
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["435", "007920"]

Abstract:
Method for determination of whether a subject suffers from intermittent atrial fibrillation based on the determination of the amount of a Troponin T in a sample in a patient suffering from atrial fibrillation using a binding assay. Kits and devices adapted to carry out the methods are also provided.

Claim (Index 1):
A method of diagnosing intermittent atrial fibrillation in a patient suffering from atrial fibrillation, the method comprising the steps of:\n contacting, in vitro, a portion of a plasma or serum sample obtained from the patient with a binding agent that specifically binds Troponin T, said binding agent having a detectable label, whereby a complex of the binding agent and the Troponin T is formed; separating the complex from binding agent and sample not comprising the complex; measuring the amount of complex separated in said step of separating by detecting the presence of the detectable label, whereby a concentration of the Troponin T in the sample is calculated; comparing the concentration of the Troponin T in the sample to a first Troponin reference concentration and a second Troponin reference concentration, the second Troponin reference concentration being greater than the first Troponin reference concentration; and providing a diagnosis of intermittent atrial fibrillation in the patient if the concentration of the Troponin T is greater than the first Troponin reference concentration and less than the Troponin reference concentration.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 1.37838
- Patent Class: 435.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11837714', '15132318', '13020346', '12363932', '12901691']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5572833222007137
- 35 USC 102 Novelty (BERT): 0.4770691229000866
- Combined Prediction Score: 0.5492619022706511
- Mean Citation Score: 161.671674
- Max Citation Score: 168.38454
- Similarity Product: 120.18862133920668

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

Dataset: test