PATENT CLAIM ANALYSIS

Application Number: 16044413
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["435", "070100"]

Abstract:
Provided herein are methods and systems for bio-printing of three-dimensional organs and organoids. Also provided herein are bio-printed three-dimensional organs and organoids for use in the generation and/or the assessment of immunological products and/or immune responses. Also provided herein are methods and system for bio-printing three-dimensional matrices.

Claim (Index 98):
The method of  claim 93 , wherein said first plurality of cells and said second plurality of cells are selected from the list consisting of stromal endothelial cells, endothelial cells, follicular reticular cells or precursors thereof, na\u00efve B cells or other immature B cells, memory B cells, plasma B cells, helper T cells and subsets of the same, effector T cells and subsets of the same CD8+ T cells, CD4+ T cells, regulatory T cells, natural killer T cells, na\u00efve T cells or other immature T cells, dendritic cells and subsets of the same, follicular dendritic cells, Langerhans dendritic cells, dermally-derived dendritic cells, dendritic cell precursors, monocyte-derived dendritic cells, monocytes and subsets of the same macrophages and subsets of the same, leukocytes and subsets of the same.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 95.0
- Lexical Diversity: 1.78571
- Patent Class: 435.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15253078', '13608579', '11116234', '12725698', '13377285']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6460572366581537
- 35 USC 102 Novelty (BERT): 0.5028726700246892
- Combined Prediction Score: 0.6317387799948072
- Mean Citation Score: 214.55778
- Max Citation Score: 222.7462
- Similarity Product: 145.38560985810756

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