Prosecution Insights
Last updated: October 04, 2026

University of Leeds

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

Analysis

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.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

6
Total Pending OAs
5
Non-Final OAs
1
Final Rejections
0
Advisory / Quayle

Case Difficulty Mix

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.

5
Hard (83%)
1
Medium (17%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (17%)
§101 + other1 (17%)
§103 only1 (17%)
Multi-statute (no §101)3 (50%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

2
Life Sciences
33% of docket
0
Information Tech
0% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
3
Mechanical / Eng
50% of docket
1
Business / Other
17% of docket

Time-on-OA Estimate

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.

60 h
Manual time on pending OAs
12 h
Time saved (low, 20%)
21 h
Time saved (mid, 35%)
0.5 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview 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%

Hard Cases (5)

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 #TitleExaminerDue 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 —

Interview Candidates (6)

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 #TitleExaminerDue 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 —

Top Art Units

Art UnitApps
3797 1
3687 1
3619 1
1642 1
1662 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
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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