PATENT CLAIM ANALYSIS

Application Number: 16139704
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["514", "221000"]

Abstract:
Provided herein is a method of treating a selected patient population, wherein the patient population is selected based on a determination that the patients have previously been non-responsive when treated with cannabidiol. In some embodiments, the method comprises selecting the patient based on a previously failed treatment with cannabidiol, based on lack of efficacy or tolerability. Pharmaceutical compositions and formulations for use in practicing the subject methods are also provided. The method comprises identifying a population of patients diagnosed with Dravet syndrome who were found previously to have been non-responsive when treated with cannabidiol. The selected population of patients is then treated by administering, to each identified patient, a therapeutically effective dose of fenfluramine or a pharmaceutically acceptable salt, base, acid or amine thereof, and repeating the administering over a period of a day or days, or over a period of weeks, months or years, until the patient exhibits a reduction from baseline in convulsive seizure frequency.

Claim (Index 4):
The method of  claim 3 , wherein the co-therapeutic agent is selected from the group consisting of carbamazepine, ethosuximide, fosphenytoin, lamotrigine, levetiracetam, phenobarbital, stiripentol topiramate, valproic acid, valproate, verapamil, and benzodiazepines such as clobazam, clonazepam, diazepam, lorazepam, and midazolam and a pharmaceutically acceptable salt or base thereof.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 1.88043
- Patent Class: 514.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15449084', '15284766', '15948412', '15449177', '15449124']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8109819899587574
- 35 USC 102 Novelty (BERT): 0.531860172861581
- Combined Prediction Score: 0.7830698082490398
- Mean Citation Score: 345.463046
- Max Citation Score: 347.09537
- Similarity Product: 198.94053839023468

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