PATENT CLAIM ANALYSIS

Application Number: 16361752
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["702", "019000"]

Abstract:
The invention provides methods, devices, compositions and kits for diagnosing or predicting transplant status or outcome in a subject who has received a transplant.

Claim (Index 1):
A computer-implemented method of biological sample classification comprising:\n a) receiving, at a computer, biological sample data, said biological sample data comprising nucleic acid sequence reads for nucleic acids from a biological sample from a transplant recipient; b) storing, in a database accessible by said computer, a single nucleotide polymorphism algorithm, wherein said single nucleotide polymorphism algorithm identifies single nucleotide polymorphisms distinguishable between said transplant recipient and said transplant using quality scores associated with said nucleic acid sequence reads; c) applying, by said computer, said single nucleotide polymorphism algorithm to said biological sample data in order to obtain a single nucleotide polymorphism marker profile for transplant-derived single nucleotide polymorphisms comprising at least 100 single nucleotide polymorphisms distinguishable between said transplant recipient and said transplant donor comprise; and d) using said single nucleotide polymorphism marker profile for transplant-derived single nucleotide polymorphisms to quantify transplant-derived nucleic acids in said biological sample from said transplant recipient, wherein said transplant-derived nucleic acids make up between 0.03% and 8.0% of total cell-free nucleic acids within said biological sample.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.17391
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16110646', '14188455', '13508318', '16110682', '14536300']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2921395077058647
- 35 USC 102 Novelty (BERT): 0.5675263044619797
- Combined Prediction Score: 0.3196781873814762
- Mean Citation Score: 382.973312
- Max Citation Score: 432.92966
- Similarity Product: 317.03368615057946

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

Dataset: test