PATENT CLAIM ANALYSIS

Application Number: 16008444
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["356", "318000"]

Abstract:
Systems and methods for diagnosing or monitoring progress of a pathology using laser induced breakdown spectroscopy (LIBS) and machine learning are disclosed.

Claim (Index 1):
A method for diagnosing or monitoring progress of a pathology using laser induced breakdown spectroscopy (LIBS) and biological fluids, the method comprising:\n depositing a sample of a predetermined biological fluid on a predetermined substrate; focusing light from a laser light source on the sample deposited on the predetermined substrate; energy and pulse length of the laser light source being configured to cause ablation of the sample and the predetermined substrate and formation of a plasma; collecting optical emission from the plasma; providing collected optical emission to a spectroscopic acquisition component; the spectroscopic acquisition component providing information on spectral data; providing the spectral data from the collected optical emission to a processing component; the processing component comprising one or more processors; using a machine learning algorithm and the one or more processors to diagnose the pathology or monitor progress of the pathology; wherein the machine learning algorithm is trained on a training set comprising spectral data for LIBS collected optical emission from samples of the predetermined biological fluid on the predetermined substrate which have known pathology or known progress of the pathology; wherein the predetermined substrate is configured to provide higher signal-to-noise ratio than other candidate substrates and to provide higher classification accuracy, obtained using the machine learning algorithm, of greater than a predetermined value.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 94.0
- Lexical Diversity: 1.04167
- Patent Class: 356.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14432873', '12625970', '12403522', '11794838', '12600975']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.678980888767854
- 35 USC 102 Novelty (BERT): 0.4706353700113043
- Combined Prediction Score: 0.658146336892199
- Mean Citation Score: 172.76267
- Max Citation Score: 188.34277
- Similarity Product: 147.4566933798039

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

Dataset: test