PATENT CLAIM ANALYSIS

Application Number: 16255366
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["436", "063000"]

Abstract:
The present disclosure provides systems, media, and methods for applying machine learning to determine the biological age of a sample. A method of using a biological age predictor may comprise: (a) providing data of a sample to the biological age predictor; (b) treating the sample with a substance, thereby generating a treated sample; and (c) providing data of the treated sample to the biological age predictor. The biological age predictor may generate the first biological age and/or the second biological age.

Claim (Index 14):
A computer-implemented method for determining the biological age of a sample comprising:\n (a) obtaining a first sample from a first subject; (b) labeling said first sample with a label to generate a labeled sample; (c) performing a first assay on said labeled sample to generate a first sample data; and (d) applying, by a computer comprising a processor configured to execute a computer program including instructions, executable by said processor, to apply a machine learning detection structure to said first sample data, wherein said detection structure employs machine learning to screen locations in said first sample data to:\n (i) identify a feature and classify said feature to said label; and \n (ii) determine the biological age of said first sample based at least in part on said identified and classified feature.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 99.0
- Lexical Diversity: 2.08696
- Patent Class: 436.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16104391', '14604834', '15912511', '15445913', '15760813']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6491341876421245
- 35 USC 102 Novelty (BERT): 0.4833769123271934
- Combined Prediction Score: 0.6325584601106314
- Mean Citation Score: 187.521606
- Max Citation Score: 241.53427
- Similarity Product: 179.2140046788746

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

Dataset: test