PATENT CLAIM ANALYSIS

Application Number: 15988752
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["424", "085200"]

Abstract:
A composition for influencing biological growth including live cells, a fluid comprising dextrose, a protectant, and a first cytokine having a first concentration within the composition as described within the present disclosure.

Claim (Index 21):
The composition of  claim 16 , wherein the concentrations of the cytokines are: BDNF at between 668 picograms per ml and 739 picograms per ml, bNGF at between 19 picograms per ml and 21 picograms per ml, EGF at between 970 picograms per ml and 1073 picograms per ml, Eotaxin at between 50 picograms per ml and 56 picograms per ml, FGF-2 at between 38 picograms per ml and 43 picograms per ml, GM-CSF at between 10 picograms per ml and 12 picograms per ml, Gro-\u03b1 at between 4036 picograms per ml and 4462 picograms per ml, HGF at between 478 picograms per ml and 530 picograms per ml, IFN-\u03b1 at between 344 picograms per ml and 381 picograms per ml, IFN-\u03b3 at between 45 picograms per ml and 50 picograms per ml, IL-10 at between 91 picograms per ml and 102 picograms per ml, IL-12p70 at between 13 picograms per ml and 15 picograms per ml, IL-13 at between 15 picograms per ml and 18 picograms per ml, IL-15 at between 41 picograms per ml and 46 picograms per ml, IL-17A at between 26 picograms per ml and 30 picograms per ml, IL-18 at between 106 picograms per ml and 118 picograms per ml, IL-1\u03b1 at between 967 picograms per ml and 1070 picograms per ml, IL-1\u03b2 at between 20 picograms per ml and 23 picograms per ml, IL-1RA at between 3006 picograms per ml and 3323 picograms per ml, IL-2 at between 22 picograms per ml and 25 picograms per ml, IL-21 at between 502 picograms per ml and 556 picograms per ml, IL-22 at between 22 picograms per ml and 26 picograms per ml, IL-23 at between 274 picograms per ml and 303 picograms per ml, IL-27 at between 28 picograms per ml and 32 picograms per ml, IL-31 at between 15 picograms per ml and 18 picograms per ml, IL-4 at between 23 picograms per ml and 27 picograms per ml, IL-5 at between 20 picograms per ml and 23 picograms per ml, IL-6 at between 69 picograms per ml and 77 picograms per ml, IL-7 at between 36 picograms per ml and 40 picograms per ml, IL-8 at between 6113 picograms per ml and 6757 picograms per ml, IL-9 at between 178 picograms per ml and 198 picograms per ml, IP-10 at between 637 picograms per ml and 705 picograms per ml, LIF at between 56 picograms per ml and 63 picograms per ml, MCP-1 at between 19,652 picograms per ml and 21,721 picograms per ml, MIP-1\u03b1 at between 412 picograms per ml and 456 picograms per ml, MIP-1\u03b2 at between 509 picograms per ml and 564 picograms per ml, PDGF-BB at between 1095 picograms per ml and 1212 picograms per ml, PIGF-1 at between 1009 picograms per ml and 1116 picograms per ml, RANTES at between 4447 picograms per ml and 4916 picograms per ml, SCF at between 32 picograms per ml and 36 picograms per ml, SDF-1\u03b1 at between 1512 picograms per ml and 1672 picograms per ml, TNF-\u03b1 at between 58 picograms per ml and 65 picograms per ml, TNF-\u03b2 at between 17 picograms per ml and 20 picograms per ml, VEGF-A at between 653 picograms per ml and 723 picograms per ml, and VEGF-D at between 63 picograms per ml and 71 picograms per ml.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 93.0
- Lexical Diversity: 1.33333
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15619467', '15675542', '15988855', '14469963', '14937241']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7637492710057815
- 35 USC 102 Novelty (BERT): 0.5454224022181903
- Combined Prediction Score: 0.7419165841270223
- Mean Citation Score: 316.0099160000001
- Max Citation Score: 403.68576
- Similarity Product: 284.2774008501435

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