PATENT CLAIM ANALYSIS

Application Number: 15979041
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["514", "402000"]

Abstract:
The present invention describes methods and compositions for improving the therapeutic efficacy of therapeutic agents previously limited by suboptimal therapeutic performance by either improving efficacy as monotherapy or reducing side effects. Such methods and compositions are particularly applicable to bisantrene or derivatives, analogs, or prodrugs thereof.

Claim (Index 24):
The method of  claim 23  wherein the drug therapy comprises the administration of bisantrene and wherein the dose modification is selected from the group consisting of:\n (a) continuous i.v. infusion for hours to days; \n (b) biweekly administration; \n (c) doses greater than 5 mg/m 2 /day; \n (d) progressive escalation of dosing from 1 mg/m 2 /day based on patient tolerance; \n (e) doses less than 1 mg/m 2  for greater than 14 days; \n (f) use of caffeine to modulate metabolism; \n (g) use of isoniazid to modulate metabolism; \n (h) selected and intermittent boost dose administrations; \n (i) bolus single and multiple doses of 1-5 mg/m 2 ; \n (j) oral dosing including multiple daily dosing; \n (k) micro-dosing; \n (l) immediate release dosing; \n (m) slow release dosing; and \n (n) controlled release dosing.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 93.0
- Lexical Diversity: 1.31579
- Patent Class: 514.0
- Transitional Phrase Type: closed
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14907728', '14907729', '13817096', '14753911', '14245738']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7891826165395229
- 35 USC 102 Novelty (BERT): 0.531528046596486
- Combined Prediction Score: 0.7634171595452192
- Mean Citation Score: 267.787678
- Max Citation Score: 348.62634
- Similarity Product: 293.3283936550498

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

Dataset: test