PATENT CLAIM ANALYSIS

Application Number: 16050004
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-02
Patent Classification: ["436", "518000"]

Abstract:
Methods for assessing pneumonia in a patient, methods for managing treatment of a patient suspected of having pneumonia, and methods of managing treatment in a patient suffering from pneumonia. The method of assessing pneumonia includes contacting a biological sample with reagents for detection and/or quantification of neutrophil-derived microparticles, determining a level of neutrophil-derived microparticles, and assessing pneumonia if the level is elevated. The method of managing treatment of a patient suspected of having pneumonia includes assessing pneumonia by calculating a concentration of neutrophil-derived microparticles, treating the patient where pneumonia is indicated, and determining treatment response by measuring a post treatment concentration of neutrophil-derived microparticles. The method of managing treatment in a patient suffering from pneumonia includes establishing a baseline concentration of neutrophil-derived microparticles, initiating treatment, and serially monitoring a concentration of neutrophil-derived microparticles during treatment.

Claim (Index 33):
The method of  claim 28 , wherein the cutoff value of the neutrophil-derived microparticles is about 500 neutrophil-derived microparticles/\u03bcL.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 95.0
- Lexical Diversity: 2.82692
- Patent Class: 436.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14092443', '10548279', '14409755', '14699620', '14005737']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6839887219135568
- 35 USC 102 Novelty (BERT): 0.624885584778996
- Combined Prediction Score: 0.6780784082001007
- Mean Citation Score: 325.997972
- Max Citation Score: 709.53894
- Similarity Product: 527.1383955663014

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

Dataset: test