Prosecution Insights
Prosecution Insights
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
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 only | 1 (50%) |
| §112 only | 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 |
|---|---|---|---|
| HAUSMANN, MICHELLE M | 1 | 76.4% | +21.4% |
| TSAI, TSUNG YIN | 1 | 81.4% | +11.6% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18412591 | STATISTICAL RECONSTRUCTION METHOD BASED ON A CONTINUOUS-TO-CONTINUOUS DATA MODEL WITH ITERATIVE COORDINATE DESCENT OPTIMIZATION STRATEGY FOR EMISSION TOMOGRAPHY | TSAI, TSUNG YIN | — |
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 |
|---|---|---|---|
| 18412594 | STATISTICAL RECONSTRUCTION METHOD BASED ON A DISCRETE-TO-DISCRETE DATA MODEL WITH ITERATIVE COORDINATE DESCENT OPTIMIZATION STRATEGY FOR EMISSION TOMOGRAPHY | HAUSMANN, MICHELLE M | — |
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 |
|---|---|---|---|
| 18412594 | STATISTICAL RECONSTRUCTION METHOD BASED ON A DISCRETE-TO-DISCRETE DATA MODEL WITH ITERATIVE COORDINATE DESCENT OPTIMIZATION STRATEGY FOR EMISSION TOMOGRAPHY | HAUSMANN, MICHELLE M | — |
| 18412591 | STATISTICAL RECONSTRUCTION METHOD BASED ON A CONTINUOUS-TO-CONTINUOUS DATA MODEL WITH ITERATIVE COORDINATE DESCENT OPTIMIZATION STRATEGY FOR EMISSION TOMOGRAPHY | TSAI, TSUNG YIN | — |
| Art Unit | Apps |
|---|---|
| 2671 | 1 |
| 2656 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18412594 | STATISTICAL RECONSTRUCTION METHOD BASED ON A DISCRETE-TO-DISCRETE DATA MODEL WITH ITERATIVE COORDINATE DESCENT OPTIMIZATION STRATEGY FOR EMISSION TOMOGRAPHY | HAUSMANN, MICHELLE M | 2671 | §101 | Non-Final OA | — | Pending | Jan 14, 2024 |
| 18412591 | STATISTICAL RECONSTRUCTION METHOD BASED ON A CONTINUOUS-TO-CONTINUOUS DATA MODEL WITH ITERATIVE COORDINATE DESCENT OPTIMIZATION STRATEGY FOR EMISSION TOMOGRAPHY | TSAI, TSUNG YIN | 2656 | §112 | Non-Final OA | — | Pending | Jan 14, 2024 |
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