Prosecution Insights
Prosecution Insights
2 pending office actions • 0 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
Durham University has 2 pending office actions. These actions are being reviewed by 2 distinct examiners, although no technology area is provided in the data. The university's current pending prosecution is split between these two individuals.
QIAN, SHIZHI is the busiest examiner, currently overseeing 1 pending office action. The use of 2 examiners for the 2 pending actions indicates that each case is being reviewed by a different individual. This distribution requires the university to address the specific tendencies of two different officials at the patent office.
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 |
|---|---|
| Double-patenting + other | 1 (50%) |
| Multi-statute (no §101) | 1 (50%) |
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 |
|---|---|---|---|
| QIAN, SHIZHI | 1 | 61.8% | +47.9% |
| PERREIRA, MELISSA JEAN | 1 | 52.0% | +25.8% |
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 |
|---|---|---|---|
| 18867752 | AN ELECTROCHEMICAL SENSOR AND METHOD FOR DETECTING PATHOGENIC METABOLITES | QIAN, SHIZHI | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18867752 | AN ELECTROCHEMICAL SENSOR AND METHOD FOR DETECTING PATHOGENIC METABOLITES | QIAN, SHIZHI | — |
| 18149934 | MECHANICAL OPENING OF LIPID BILAYERS BY MOLECULAR NANOMACHINES | PERREIRA, MELISSA JEAN | — |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18867752 | AN ELECTROCHEMICAL SENSOR AND METHOD FOR DETECTING PATHOGENIC METABOLITES | QIAN, SHIZHI | — | §102§103 | Non-Final OA | — | Pending | Nov 20, 2024 |
| 18149934 | MECHANICAL OPENING OF LIPID BILAYERS BY MOLECULAR NANOMACHINES | PERREIRA, MELISSA JEAN | — | §102§103DP | Non-Final OA | — | Pending | Jan 04, 2023 |
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