PATENT CLAIM ANALYSIS

Application Number: 16283616
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["264", "496000"]

Abstract:
A method for manufacturing microneedle devices and systems and tools for implementing same. The method can include manufacturing a replica mold and forming a microneedle array via the replica mold. The replica mold can be manufactured by disposing replica mold material on a master mold and curing the replica mold material. To reduce manufacturing time, the replica mold material preferably is cured at a high temperature for a relatively short time and then cooled quickly before removal from the master mold. The microneedle array can be formed by disposing microneedle material on the replica mold under vacuum and drying the microneedle material in single or successive disposing and drying operations. One or more optional backing layers can be added to the microneedle array when forming the microneedle device. Advantageously, the disclosed methods, systems and tools can be used to manufacture skin-applied patches for delivering cosmetic and therapeutic agents.

Claim (Index 2):
The method of  claim 1 , wherein said disposing the replica mold material includes forming at least one microneedle well in the replica mold material via a corresponding microneedle projection extending from the master mold.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 99.0
- Lexical Diversity: 2.05195
- Patent Class: 264.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10727124', '12994148', '12922450', '13549694', '11720480']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8121873421639887
- 35 USC 102 Novelty (BERT): 0.4861472974061501
- Combined Prediction Score: 0.7795833376882049
- Mean Citation Score: 204.627198
- Max Citation Score: 210.68518
- Similarity Product: 153.72144791648626

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