PATENT CLAIM ANALYSIS

Application Number: 16043504
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-03
Patent Classification: ["424", "135100"]

Abstract:
The disclosure is directed to novel predictive methods and personalized therapies for treating asthma. Specifically, this disclosure relates to methods of treating a patient having asthma by selectively administering an IL-13 antagonist, on the basis of that patient being genetically predisposed to have a favorable response to treatment with the IL-13 antagonist. Also disclosed herein are transmittable forms of information, diagnostic methods, and kits useful in predicting the likelihood that a patient having asthma will respond to treatment with an IL-13 antagonist.

Claim (Index 4):
A method of predicting the likelihood that a patient having asthma will respond to treatment with an IL-13 antagonist, comprising the steps of:\n a) assaying a biological sample from the patient for the presence or absence of at least one AIR marker, and b) determining whether said AIR marker is present in homozygous or heterozygous form, wherein the presence of the at least one AIR marker in homozygous form is indicative of an increased likelihood that the patient will respond to treatment with the IL-13 antagonist, wherein said at least one AIR marker is selected from the group consisting of:\n i) AIR marker 3 and AIR marker 7 each present in homozygous form, \n ii) AIR marker 3 present in homozygous form and AIR marker 7 in heterozygous form,\n a. AIR marker 7 present in homozygous form and AIR marker 3 in heterozygous form, and \n b. AIR marker 3 in homozygous form.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 95.0
- Lexical Diversity: 1.58929
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15302348', '15969952', '14978183', '14457566', '15041514']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6535749677899155
- 35 USC 102 Novelty (BERT): 0.5836791378241414
- Combined Prediction Score: 0.6465853847933382
- Mean Citation Score: 300.79763
- Max Citation Score: 503.8454
- Similarity Product: 388.3010854543924

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

Dataset: test