PATENT CLAIM ANALYSIS

Application Number: 15980622
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-10
Patent Classification: ["424", "653000"]

Abstract:
Compositions and methods, including novel homogeneous microparticulate suspensions, are described for treating natural surfaces that contain bacterial biofilm, including unexpected synergy or enhancing effects between bismuth-thiol (BT) compounds and certain antibiotics, to provide formulations including antiseptic formulations. Previously unpredicted antibacterial properties and anti-biofilm properties of disclosed BT compounds and BT compound-plus-antibiotic combinations are also described, including preferential efficacies of certain such compositions for treating certain gram-positive bacterial infections, and distinct preferential efficacies of certain such compositions for treating certain gram-negative bacterial infections.

Claim (Index 12):
The method of  claim 9  wherein the BT composition comprises a plurality of solid microparticles that exhibit a unimodal size distribution when the composition is analyzed on a particle size analyzer and that comprise a bismuth-thiol (BT) compound, substantially all of said microparticles having a volumetric mean diameter of from about 0.4 \u03bcm to about 5 \u03bcm, wherein the BT compound comprises bismuth or a bismuth salt and a thiol-containing compound.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 93.0
- Lexical Diversity: 1.67273
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13566816', '12699680', '12019477', '13984991', '15380648']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7059054158549467
- 35 USC 102 Novelty (BERT): 0.7175237905018834
- Combined Prediction Score: 0.7070672533196405
- Mean Citation Score: 417.156782
- Max Citation Score: 753.5945
- Similarity Product: 749.6040984821916

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