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 30):
A high-throughput method of screening a test compound to identify an anti-aging agent, the method comprising:\n (a) contacting a biological sample with said test compound, thereby generating a treated sample; (b) providing data of said treated sample to a biological age predictor; (c) determining a biological age of said treated sample using a biological age predictor; and (d) identifying said test compound as an anti-aging agent based at least in part on said determined biological age.

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): 0.6485900856627144
- 35 USC 102 Novelty (BERT): 0.485998206498461
- Combined Prediction Score: 0.632330897746289
- Mean Citation Score: 187.521606
- Max Citation Score: 241.53427
- Similarity Product: 172.95744496142865

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