Technology areas: Biotechnology & Pharmaceuticals • Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
6 pending office actions • 5 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
The University of Leeds is currently managing 7 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These 7 actions are distributed across 5 distinct art units, suggesting that the university's research output in this sector is technically diverse. Having 5 units involved for only 7 actions indicates that the portfolio is not concentrated in a single specialized niche, requiring a broad understanding of different examination standards.
There are 7 distinct examiners assigned to these matters, resulting in a matching ratio of examiners to pending actions. Oommen Jacob is identified as the busiest examiner for the university, though they currently hold only 1 pending action. This distribution means that every pending case is being reviewed by a different person. For the practitioner, this implies that successful strategies used with Oommen Jacob or other examiners may not be directly applicable to other active files in the portfolio due to the lack of examiner overlap across the 5 distinct art units involved.
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 (17%) |
| §101 + other | 1 (17%) |
| §103 only | 1 (17%) |
| Multi-statute (no §101) | 3 (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 |
|---|---|---|---|
| JACOB, OOMMEN | 1 | 79.1% | +17.5% |
| FURTADO, WINSTON RAHUL | 1 | 19.4% | +23.4% |
| NG, JONATHAN K | 1 | 35.6% | +14.0% |
| LAFAVE, ELIZABETH ROSE | 1 | 62.5% | +45.4% |
| AEDER, SEAN E | 1 | 57.0% | +19.9% |
| BYRNES, DAVID R | 1 | 78.1% | +22.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19167566 | Device and System for Non-Invasively Determining a Concentration of an Analyte | JACOB, OOMMEN | — |
| 19116966 | METHOD AND APPARATUS FOR GENERATING VIRTUAL POPULATIONS OF ANATOMY | FURTADO, WINSTON RAHUL | — |
| 18856298 | DETERMINATION OF CARDIAC FUNCTIONAL INDICES | NG, JONATHAN K | — |
| 18278366 | IDENTIFICATION OF GENOMIC TARGETS | LAFAVE, ELIZABETH ROSE | — |
| 17765596 | PLANTS HAVING A MODIFIED LAZY PROTEIN | BYRNES, DAVID R | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19167566 | Device and System for Non-Invasively Determining a Concentration of an Analyte | JACOB, OOMMEN | — |
| 19116966 | METHOD AND APPARATUS FOR GENERATING VIRTUAL POPULATIONS OF ANATOMY | FURTADO, WINSTON RAHUL | — |
| 18856298 | DETERMINATION OF CARDIAC FUNCTIONAL INDICES | NG, JONATHAN K | — |
| 18278366 | IDENTIFICATION OF GENOMIC TARGETS | LAFAVE, ELIZABETH ROSE | — |
| 18186765 | PREDICTION OF RESPONSE TO EPIDERMAL GROWTH FACTOR RECEPTOR-DIRECTED THERAPIES USING EPIREGULIN AND AMPHIREGULIN | AEDER, SEAN E | — |
| 17765596 | PLANTS HAVING A MODIFIED LAZY PROTEIN | BYRNES, DAVID R | — |
| Art Unit | Apps |
|---|---|
| 3797 | 1 |
| 3687 | 1 |
| 3619 | 1 |
| 1642 | 1 |
| 1662 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19167566 | Device and System for Non-Invasively Determining a Concentration of an Analyte | JACOB, OOMMEN | 3797 | §103§112 | Non-Final OA | — | Pending | Sep 22, 2025 |
| 19116966 | METHOD AND APPARATUS FOR GENERATING VIRTUAL POPULATIONS OF ANATOMY | FURTADO, WINSTON RAHUL | 3687 | §101§103 | Non-Final OA | — | Pending | Mar 28, 2025 |
| 18856298 | DETERMINATION OF CARDIAC FUNCTIONAL INDICES | NG, JONATHAN K | 3619 | §101 | Non-Final OA | — | Pending | Oct 11, 2024 |
| 18278366 | IDENTIFICATION OF GENOMIC TARGETS | LAFAVE, ELIZABETH ROSE | — | §103§112 | Non-Final OA | — | Pending | Aug 22, 2023 |
| 18186765 | PREDICTION OF RESPONSE TO EPIDERMAL GROWTH FACTOR RECEPTOR-DIRECTED THERAPIES USING EPIREGULIN AND AMPHIREGULIN | AEDER, SEAN E | 1642 | §103 | Non-Final OA | — | Pending | Mar 20, 2023 |
| 17765596 | PLANTS HAVING A MODIFIED LAZY PROTEIN | BYRNES, DAVID R | 1662 | §102§112 | Final Rejection | — | Pending | Mar 31, 2022 |
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