PATENT CLAIM ANALYSIS

Application Number: 16132123
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["702", "019000"]

Abstract:
Disclosed herein are methods for improving detection and monitoring of human diseases. The methods can be used to provide spatial and/or developmental localization of the source of each differential mutation within the body. The methods can also be used to generate a mutation map of a subject. And the mutation map can be used to monitoring state(s) of health of one or more tissues of a subject.

Claim (Index 38):
A method for monitoring a subject having or suspected of having a disease, comprising:\n (a) obtaining a first set of sequence reads and a second set of sequence reads generated upon independently sequencing nucleic acid molecules derived from a first set of nucleic acid molecules and a second set of nucleic acid molecules, wherein said first set of sequence reads corresponds to said first set of nucleic acid molecules and said second set of sequence reads corresponds to said second set of nucleic acid molecules, and wherein (i) said first set of nucleic acid molecules is extracted from a first component separated from a blood sample of said subject, and (ii) said second set of nucleic acid molecules is extracted from leukocytes from a second component separate from said blood sample; (b) using said first set of sequence reads and said second set of sequence reads to identify one or more first mosaic variants in said first set of sequence reads that is not present in said second set of sequence reads; and (c) subsequent to (b), identifying one or more second mosaic variants in an additional sample of said subject, which additional sample is obtained from a source or at a time point that is different than said blood sample.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 97.0
- Lexical Diversity: 1.64444
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14929075', '15872831', '15793845', '14712754', '15467570']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1824811179012244
- 35 USC 102 Novelty (BERT): 0.5217835753358201
- Combined Prediction Score: 0.216411363644684
- Mean Citation Score: 271.870666
- Max Citation Score: 342.64703
- Similarity Product: 254.3599319716084

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