PATENT CLAIM ANALYSIS

Application Number: 16196272
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["424", "426000"]

Abstract:
Disclosed are tissue graft compositions made of particles having different densities, methods of making these compositions, and methods of using these compositions for promoting tissue restoration in a patient.

Claim (Index 56):
A method for preparing a mixture of bioresorbable particulate matter, comprising:\n (a) providing a first bioresorbable material comprising a native extracellular matrix and having a first density, and, milling said first bioresorbable material into a first plurality of bioresorbable particles; (b) providing a second bioresorbable material comprising another extracellular matrix different than the extracellular matrix material of the first bioresorbable material and having a second density, wherein the second density of the second bioresorbable material is 150%-500% of the first density of the first bioresorbable material, and, and, milling said second bioresorbable material into a second plurality of bioresorbable particles; (c) providing a predetermined quantity of said first plurality of bioresorbable particles and a predetermined quantity of said second plurality of bioresorbable particles; and (d) mixing said predetermined quantity of said first plurality of bioresorbable particles with a predetermined quantity of said second plurality of bioresorbable particles.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 98.0
- Lexical Diversity: 1.33333
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12507311', '14163046', '14712084', '13681610', '12507338']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8163438343867417
- 35 USC 102 Novelty (BERT): 0.6083228284503075
- Combined Prediction Score: 0.7955417337930983
- Mean Citation Score: 520.0439859999998
- Max Citation Score: 574.6347
- Similarity Product: 495.7237840049028

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

Dataset: test