PATENT CLAIM ANALYSIS

Application Number: 16046448
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["424", "134100"]

Abstract:
Formulations and methods of treatment are disclosed for prevention and/or treatment of visual loss from age-related macular degeneration. The disclosed formulations include botulinum neurotoxin. The disclosed formulations may be applied to an intraocular or extraocular region of a patient. If applied to an extra ocular region of a patient, the botulinum-based pharmaceutical formulation may then be transported to the intra-ocular region of the patient, allowing the active ingredient(s) to penetrate into the choroid, neuro-retina, and/or retinal pigment epithelium without direct injection into the eye, eliminating risk of retinal detachment, retinal break, retinal hemorrhage, and blindness. Data assimilation methods are also disclosed, focusing on enhancing assessment of choriocapillaris and choroidal blood flow to increase sensitivity of OCT-A monitoring. The disclosed methods can be used for treatment and clinical study plans of patients with adult onset macular degeneration and related conditions. Methods of treating various stages of diabetic retinopathy are also described.

Claim (Index 6):
The method of  claim 3 , wherein the botulinum toxin is administered to the patient as an eye drop at a dose greater than 10 U per drop.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 95.0
- Lexical Diversity: 1.69
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14636639', '14314994', '13695287', '13181279', '15485997']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7689622713010115
- 35 USC 102 Novelty (BERT): 0.5087429077648455
- Combined Prediction Score: 0.7429403349473949
- Mean Citation Score: 252.406014
- Max Citation Score: 257.903
- Similarity Product: 170.3986855592728

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