PATENT CLAIM ANALYSIS

Application Number: 15886742
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["702", "019000"]

Abstract:
A drug-induced risk prediction system and associated methods are disclosed for predicting at least one of a drug-induced inotropic risk and a pro-arrhythmia risk in connection with an at least one drug, based on a select at least one contractility parameter associated with an at least one heart.

Claim (Index 13):
A drug-induced risk prediction system for predicting at least one of a drug-induced inotropic risk and a pro-arrhythmia risk in connection with an at least one drug, based on a select at least one contractility parameter associated with an at least one heart, the system comprising:\n an at least one computing device configured for receiving and processing select data obtained by an at least one monitoring device positioned and configured for obtaining data related to the at least one heart; wherein, the at least one computing device is configured for:\n after the at least one drug has been administered to the at least one heart, determining whether the at least one drug has taken appropriate effect on the at least one heart; \n upon determining that the at least one drug has taken appropriate effect on the at least one heart:\n upon determining that the at least one heart consists of cell-based assays, obtaining at multiple pre-determined intervals for a pre-determined period of time, via the at least one monitoring device, at least one contractility parameter comprising cardiomyocyte contractility transients including at least one of a fractional sarcomere shortening (\u201cS FS \u201d), a time to 90% relaxation (\u201cTR 90 \u201d), an after-contraction (\u201cAC\u201d), a contractility escape type 1 (\u201cCE1\u201d), and a contractility escape type 2 (\u201cCE2\u201d); and \n upon determining that the at least one heart consists of organ-based or tissue-based assays, obtaining at multiple pre-determined intervals for a pre-determined period of time, via the at least one monitoring device, at least one contractility parameter related to trabeculae force of contraction including at least one of a maximum amplitude of force of contraction (\u201cMAC\u201d), a time to 70% relaxation (\u201cTR 70 \u201d), a time to 90% relaxation (\u201cTR 90 \u201d), an after-contraction (\u201cAC\u201d), and a contraction escape (\u201cCE\u201d); \n \n calculating a delta for each of the at least one obtained contractility parameter; \n determining whether any of the at least one obtained contractility parameter has a delta that equals or exceeds an at least one risk threshold value associated with each said at least one obtained contractility parameter; \n upon determining that a pre-determined number of the at least one obtained contractility parameter each has a delta that equals or exceeds the associated at least one risk threshold value, concluding that there is at least one of a drug-induced inotropic and a pro-arrhythmia risk in connection with the at least one drug; and \n upon determining that a pre-determined number of the at least one obtained contractility parameter each has a delta that is less than the associated at least one risk threshold value, concluding that there is likely an absence of at least one of a drug-induced inotropic risk and a pro-arrhythmia risk in connection with the at least one drug.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 1.5625
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13554946', '14122226', '13109809', '15519021', '13255593']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1991299712811765
- 35 USC 102 Novelty (BERT): 0.4951316840924948
- Combined Prediction Score: 0.2287301425623084
- Mean Citation Score: 196.496954
- Max Citation Score: 241.45955
- Similarity Product: 176.90596820819675

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

Dataset: test