PATENT CLAIM ANALYSIS

Application Number: 15948908
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["435", "006100"]

Abstract:
Methods for predicting clinical outcome for a human subject diagnosed with squamous cell lung carcinoma using a panel of molecular markers that includes CDKN2A and CCND1. The markers are related to the subject's increased likelihood of a negative clinical outcome.

Claim (Index 42):
The method of  claim 40 , wherein the biological sample is obtained from lymph node, a distant metastasis sample, or a blood sample.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 91.0
- Lexical Diversity: 1.26471
- Patent Class: 435.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13958502', '15200088', '13868745', '15354854', '13407165']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5793217562937241
- 35 USC 102 Novelty (BERT): 0.5393075961413182
- Combined Prediction Score: 0.5753203402784836
- Mean Citation Score: 305.5848420000001
- Max Citation Score: 367.76343
- Similarity Product: 242.7163328244192

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

Dataset: test