PATENT CLAIM ANALYSIS

Application Number: 15900680
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-11
Patent Classification: ["424", "009100"]

Abstract:
In various embodiments methods are provided for identifying a mammal having an elevated risk for an adverse cardiac event (e.g. an MI) and/or determining the prognosis for the mammal. In certain embodiments the methods comprise determining, or causing to be determined, the presence and/or level of antibodies that bind a malondialdehyde-acetaldheyde adduct (MAA adduct) in a biological sample from the mammal, where an elevated level of anti-MAA adduct antibodies, as compared to the level found in a normal healthy mammal is an indicator that that said mammal has one or more atherosclerotic lesions and/or is at elevated risk for a myocardial infarction.

Claim (Index 1):
A method of identifying a mammal having an elevated risk for an adverse cardiac event and/or determining the prognosis for said mammal, said method comprising:\n determining, or causing to be determined, the presence and/or level of antibodies that bind a malondialdehyde acetaldehyde adduct (MAA adduct) in a biological sample from said mammal, where an elevated level of said antibodies, as compared to the level found in a normal healthy mammal is an indicator that that said mammal has one or more atherosclerotic lesions.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 88.0
- Lexical Diversity: 1.73846
- Patent Class: 424.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10557427', '14193391', '13865139', '14416555', '14155903']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6759543763033194
- 35 USC 102 Novelty (BERT): 0.5135621524042958
- Combined Prediction Score: 0.6597151539134171
- Mean Citation Score: 257.698636
- Max Citation Score: 276.2188
- Similarity Product: 199.8738088387489

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

Dataset: test