Prosecution Insights
Prosecution Insights
1 pending office actions • 0 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Yonsei University Biohealth Technology Holdings Inc. manages a company patent portfolio. The portfolio currently includes 1 pending office action, which is being reviewed by 1 distinct examiner. This single action is assigned to 0 distinct art units, indicating a unique classification status for the company's current filings. ROSSI, VY BUI is identified as the busiest examiner, managing 1 pending office action. Because the entire pending workload consists of only 1 pending office action, the prosecution strategy is currently tied to the findings of a single individual.
The data showing 0 distinct art units suggests a specific administrative or technical status for the pending matter. For the practitioner, this means that the immediate success of the portfolio's prosecution depends entirely on the interactions with ROSSI, VY BUI. The examiner's individual interpretation of the 1 pending office action will be the primary factor in the company's patenting progress. Practitioners should focus on the specific requirements of the assigned examiner to resolve the 1 pending office action. This focused approach allows for a dedicated response to the examiner's specific concerns regarding the 1 pending office action.
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 |
|---|---|---|---|
| ROSSI, VY BUI | 1 | 29.5% | +36.4% |
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 |
|---|---|---|---|
| 18309208 | SYSTEM AND METHOD FOR PREDICTING EFFICIENCY AND OUTCOME OF BASE EDITOR BY USING DEEP LEARNING | ROSSI, VY BUI | — |
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 |
|---|---|---|---|
| 18309208 | SYSTEM AND METHOD FOR PREDICTING EFFICIENCY AND OUTCOME OF BASE EDITOR BY USING DEEP LEARNING | ROSSI, VY BUI | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18309208 | SYSTEM AND METHOD FOR PREDICTING EFFICIENCY AND OUTCOME OF BASE EDITOR BY USING DEEP LEARNING | ROSSI, VY BUI | — | §101§102§112DP | Non-Final OA | — | Pending | Apr 28, 2023 |
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