Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Communications • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Knu-Industry Cooperation Foundation currently manages 3 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. This portfolio is distributed across 3 distinct examiners and 3 distinct art units, indicating a spread of subject matter within its primary sector. The workload is evenly distributed among the assigned staff, as the busiest examiner, ILAGAN, VINCENT CAESAR, is responsible for only 1 pending action.
Practitioners should note that the relationship of pending actions to examiners suggests that no single official is currently overwhelmed by this foundation's filings. Because the 3 pending office actions are located in 3 different art units, the foundation must navigate diverse examination standards even within its main technology area. This fragmentation requires a strategy that accounts for the specific nuances of each art unit rather than a centralized approach.
The presence of 3 distinct examiners means that every current matter is being handled by a different individual. This lack of examiner overlap prevents the foundation from leveraging a single relationship to resolve multiple pending issues. Consequently, each active case represents a unique negotiation path with ILAGAN, VINCENT CAESAR or one of the other assigned officials.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 (33%) |
| §103 only | 1 (33%) |
| §112 only | 1 (33%) |
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 |
|---|---|---|---|
| ILAGAN, VINCENT CAESAR | 1 | 45.0% | +73.3% |
| DHOOGE, DEVIN J | 1 | 71.3% | +31.7% |
| DICKENS, AMELIA NICOLE | 1 | 47.6% | +21.1% |
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 |
|---|---|---|---|
| 18962538 | ELECTRONIC DEVICE FOR MONITORING NUTRITIONAL INTAKE | ILAGAN, VINCENT CAESAR | — |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18328308 | ANTAGONIST MICROORGANISMS FOR INHIBITING FIRE BLIGHT AND COMPOSITION FOR INHIBITING FIRE BLIGHT WITH THE SAME AS ACTIVE INGREDIENT | DICKENS, AMELIA NICOLE | 14d |
| 18962538 | ELECTRONIC DEVICE FOR MONITORING NUTRITIONAL INTAKE | ILAGAN, VINCENT CAESAR | — |
| 18622282 | METHOD FOR TRAINING A MEDICAL IMAGE CLASSIFICATION MODEL USING MULTI-FILTER AUTO-AUGMENTATION | DHOOGE, DEVIN J | — |
| Art Unit | Apps |
|---|---|
| 3686 | 1 |
| 2677 | 1 |
| 1645 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18962538 | ELECTRONIC DEVICE FOR MONITORING NUTRITIONAL INTAKE | ILAGAN, VINCENT CAESAR | 3686 | §101§103 | Final Rejection | — | Pending | Nov 27, 2024 |
| 18622282 | METHOD FOR TRAINING A MEDICAL IMAGE CLASSIFICATION MODEL USING MULTI-FILTER AUTO-AUGMENTATION | DHOOGE, DEVIN J | 2677 | §103 | Non-Final OA | — | Pending | Mar 29, 2024 |
| 18328308 | ANTAGONIST MICROORGANISMS FOR INHIBITING FIRE BLIGHT AND COMPOSITION FOR INHIBITING FIRE BLIGHT WITH THE SAME AS ACTIVE INGREDIENT | DICKENS, AMELIA NICOLE | 1645 | §112 | Non-Final OA | 14d | Pending | Jun 02, 2023 |
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