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 1):
A computer system for determining a health state of a tissue of interest in a subject, comprising:\n a) at least one processor; b) a system memory; and c) one or more computer-readable storage media having stored thereon a set of encoded, computer-executable instructions that cause the computer system to:\n i) store data representing a plurality of sample quantities of a plurality of cell-free messenger RNAs in a test biological sample of a test subject; \n ii) calculate a relative contribution of a pathway of interest to a cell-free transcriptome of the biological sample based on the sample quantities; \n iii) calculate a difference between the relative contribution and a reference relative contribution of the pathway in a reference sample of a reference subject, wherein the reference subject is characterized by a known health status; and \n iv) assign a health status to the test subject based on a presence or absence of a statistically significant difference between the relative contribution and the reference relative contribution.

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): 0.2923524402107347
- 35 USC 102 Novelty (BERT): 0.5705109530199511
- Combined Prediction Score: 0.3201682914916564
- Mean Citation Score: 492.168896
- Max Citation Score: 525.3245
- Similarity Product: 367.68452840477227

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