Prosecution Insights
Prosecution Insights
Technology area: Biotechnology & Pharmaceuticals
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Nanoscope Technologies LLC maintains a focused presence in the Biotechnology & Pharmaceuticals sector. The portfolio currently includes 1 pending office action located in 1 distinct art unit. This concentration indicates a specific area of technical interest for the company's current filings.
VASSELL, MEREDITH ABBOTT is the 1 distinct examiner for this portfolio and holds the 1 busiest examiner pending action. Since all prosecution activity is directed through a single examiner, the entity experiences a centralized review process. This structure allows for a very direct line of communication with the patent office.
For practitioners, this concentration means that the prosecution strategy must be tailored to the specific tendencies of the assigned examiner. The singular nature of the pending action means there is no room for error in the response. Understanding the examiner's past decisions in this art unit is vital for moving the application toward allowance.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 1 (100%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| VASSELL, MEREDITH ABBOTT | 1 | 30.3% | +47.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 16933527 | Equation Learning Neural Networks in Degrading Channels for Neural Machine Maintenance and Applications Thereof | VASSELL, MEREDITH ABBOTT | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 16933527 | Equation Learning Neural Networks in Degrading Channels for Neural Machine Maintenance and Applications Thereof | VASSELL, MEREDITH ABBOTT | — |
| Art Unit | Apps |
|---|---|
| 1687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 16933527 | Equation Learning Neural Networks in Degrading Channels for Neural Machine Maintenance and Applications Thereof | VASSELL, MEREDITH ABBOTT | 1687 | §101§112 | Final Rejection | — | Pending | Jul 20, 2020 |
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