PATENT CLAIM ANALYSIS

Application Number: 15969603
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["702", "019000"]

Abstract:
The invention generally relates to methods for assessing the health of a tissue by characterizing circulating nucleic acids in a biological sample. According to certain embodiments, methods for assessing the health of a tissue include the steps of detecting a sample level of RNA in a biological sample, comparing the sample level of RNA to a reference level of RNA specific to the tissue, determining whether a difference exists between the sample level and the reference level, and characterizing the tissue as abnormal if a difference is detected.

Claim (Index 3):
A system, comprising:\n a) a computer processor; b) a computer-readable medium coupled with the computer processor, the computer-readable medium storing a plurality of instructions wherein, when implemented by the processor, said instructions direct the processor to perform a plurality of logical steps comprising:\n i) receiving a collection of data from a nucleic acid quantification dataset, wherein the nucleic acid quantification dataset comprises a plurality of sample quantities of a plurality of cell-free messenger RNAs from a plurality of tissues in a test biological sample of a test subject; \n ii) deconvoluting reference relative contributions of the plurality of tissues to a reference cell free transcriptome in a reference sample of a reference subject; \n iii) calculating relative contributions of the plurality of tissues in the test biological sample to a cell-free transcriptome based on the sample quantities; and \n iv) calculating a difference between the relative contributions and the reference relative contributions; and \n iv) determining whether the health state of the tissue of interest in the subject differs or does not differ from the known reference health state based on the principle component analysis.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.08889
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15377894', '15377901', '15377904', '14861650', '14194294']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2954343552907193
- 35 USC 102 Novelty (BERT): 0.5615478359566843
- Combined Prediction Score: 0.3220457033573158
- Mean Citation Score: 492.168896
- Max Citation Score: 525.3245
- Similarity Product: 327.4763199488521

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

Dataset: test