Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Chemistry & Materials
7 pending office actions • 6 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days
Syracuse University manages a patent portfolio in the Chemistry & Materials technology area. There are currently 7 pending office actions. These 7 pending office actions are spread across 7 distinct examiners and 6 distinct art units, showing a broad prosecution landscape for the university's active applications. This distribution indicates that the university's research is being evaluated by a variety of individuals and technical groups within the patent office.
The busiest examiner is LABRANCHE, BROOKE N, who is handling 1 busiest examiner pending office action. Because there are 7 pending office actions in total, the workload is distributed such that LABRANCHE, BROOKE N is responsible for only a portion of the actions. The 6 distinct art units involved suggest that the technical subject matter of the applications is varied enough to fall under multiple specialized categories. Practitioners managing this portfolio must coordinate responses across these 6 distinct art units and 7 distinct examiners to maintain consistency in the university's intellectual property protections.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 (14%) |
| §103 only | 2 (29%) |
| Multi-statute (no §101) | 4 (57%) |
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 |
|---|---|---|---|
| LABRANCHE, BROOKE N | 1 | 72.7% | +15.7% |
| FRASER, STEWART A | 1 | 85.9% | +14.5% |
| WONG, ERIC K | 1 | 83.8% | +7.6% |
| BERA, HENA RAKESHKUMAR | 1 | — | — |
| MCDONOUGH, JAMES E | 1 | 71.1% | +10.9% |
| WHITE, ASHLEY TAYLOR | 1 | 25.0% | +46.7% |
| VASSELL, MEREDITH ABBOTT | 1 | 30.3% | +47.0% |
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 |
|---|---|---|---|
| 18523375 | POLYMER-COMPOSITE MATERIAL WITH LIGHT CONCENTRATING AND SPECTRAL SHIFTING PROPERTIES | WONG, ERIC K | 1d overdue |
| 18567876 | ANTI-WETTING, NON-STICK SURFACES FROM A PHOTOPOLYMER-NANOPARTICLE FORMULATION | FRASER, STEWART A | — |
| 18372852 | GENERALIZABLE NANOPORE SENSOR FOR HIGHLY SPECIFIC PROTEIN DETECTION AT SINGLE-MOLECULE PRECISION | BERA, HENA RAKESHKUMAR | — |
| 18053517 | ADAPTIVE RECOMBINANT NANOWORMS FROM GENETICALLY ENCODABLE STAR AMPHIPHILES | WHITE, ASHLEY TAYLOR | — |
| 16612647 | METHODS AND SYSTEMS FOR ASSESSING THE PRESENCE OF ALLELIC DROPOUT USING MACHINE LEARNING ALGORITHMS | VASSELL, MEREDITH ABBOTT | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18573512 | STEERABLE ROBOTIC NEEDLES WITH TUNABLE STIFFNESS SEGMENTS FOR LARGE CURVATURE MANEUVERS | LABRANCHE, BROOKE N | 168d overdue |
| 18140075 | SURFACE TOPOGRAPHY WITH FERROMAGNETIC POLYMER PILLARS CAPABLE OF MOVEMENT IN RESPONSE TO MAGNETIC FIELDS | MCDONOUGH, JAMES E | 11d overdue |
| 18567876 | ANTI-WETTING, NON-STICK SURFACES FROM A PHOTOPOLYMER-NANOPARTICLE FORMULATION | FRASER, STEWART A | — |
| 18053517 | ADAPTIVE RECOMBINANT NANOWORMS FROM GENETICALLY ENCODABLE STAR AMPHIPHILES | WHITE, ASHLEY TAYLOR | — |
| 16612647 | METHODS AND SYSTEMS FOR ASSESSING THE PRESENCE OF ALLELIC DROPOUT USING MACHINE LEARNING ALGORITHMS | VASSELL, MEREDITH ABBOTT | — |
| Art Unit | Apps |
|---|---|
| 3771 | 1 |
| 2874 | 1 |
| 1798 | 1 |
| 1734 | 1 |
| 1653 | 1 |
| 1687 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18573512 | STEERABLE ROBOTIC NEEDLES WITH TUNABLE STIFFNESS SEGMENTS FOR LARGE CURVATURE MANEUVERS | LABRANCHE, BROOKE N | 3771 | §103 | Final Rejection | 168d overdue | Pending | Dec 22, 2023 |
| 18567876 | ANTI-WETTING, NON-STICK SURFACES FROM A PHOTOPOLYMER-NANOPARTICLE FORMULATION | FRASER, STEWART A | — | §102§103§112 | Non-Final OA | — | Pending | Dec 07, 2023 |
| 18523375 | POLYMER-COMPOSITE MATERIAL WITH LIGHT CONCENTRATING AND SPECTRAL SHIFTING PROPERTIES | WONG, ERIC K | 2874 | §102§103 | Final Rejection | 1d overdue | Pending | Nov 29, 2023 |
| 18372852 | GENERALIZABLE NANOPORE SENSOR FOR HIGHLY SPECIFIC PROTEIN DETECTION AT SINGLE-MOLECULE PRECISION | BERA, HENA RAKESHKUMAR | 1798 | §102§103Other | Final Rejection | — | Pending | Sep 26, 2023 |
| 18140075 | SURFACE TOPOGRAPHY WITH FERROMAGNETIC POLYMER PILLARS CAPABLE OF MOVEMENT IN RESPONSE TO MAGNETIC FIELDS | MCDONOUGH, JAMES E | 1734 | §103 | Final Rejection | 11d overdue | Pending | Apr 27, 2023 |
| 18053517 | ADAPTIVE RECOMBINANT NANOWORMS FROM GENETICALLY ENCODABLE STAR AMPHIPHILES | WHITE, ASHLEY TAYLOR | 1653 | §103§112 | Final Rejection | — | Pending | Nov 08, 2022 |
| 16612647 | METHODS AND SYSTEMS FOR ASSESSING THE PRESENCE OF ALLELIC DROPOUT USING MACHINE LEARNING ALGORITHMS | VASSELL, MEREDITH ABBOTT | 1687 | §101§112 | Non-Final OA | — | Pending | Nov 11, 2019 |
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