Prosecution Insights
Prosecution Insights
Technology areas: Biotechnology & Pharmaceuticals • Computing & Software
6 pending office actions • 5 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
The Administrators of the Tulane Educational Fund currently have 5 pending office actions in the Biotechnology & Pharmaceuticals technology area. These actions are distributed across 5 distinct examiners and 5 distinct art units. This ratio between the actions, examiners, and art units suggests a highly fragmented prosecution profile.
ABEYRATNE-PERERA, HASHANTHI KOMITIGE is listed as the busiest examiner despite having only 1 pending action. This indicates that every pending matter is being reviewed independently by a different individual. For the practitioner, this means that prosecution strategies may need to be tailored specifically to each of the distinct examiners involved.
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 | 2 (33%) |
| §103 only | 1 (17%) |
| §102 only | 1 (17%) |
| §112 only | 1 (17%) |
| Multi-statute (no §101) | 1 (17%) |
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 |
|---|---|---|---|
| THOMAS, BRANDI N | 1 | 82.6% | +7.8% |
| ABEYRATNE-PERERA, HASHANTHI KOMITIGE | 1 | 0.0% | +0.0% |
| CASH, KAILEY ELIZABETH | 1 | 28.6% | +64.3% |
| YU, DELPHINUS DOU YI | 1 | 33.3% | +0.0% |
| SHOMER, ISAAC | 1 | 63.2% | +30.4% |
| NGUYEN, NHAT HUY T | 1 | 53.8% | +23.4% |
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 |
|---|---|---|---|
| 18864706 | HUYGENS METALENS | THOMAS, BRANDI N | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18687179 | COMPOSITIONS AND SYSTEMS COMPRISING THREE-DIMENSIONAL NERVE CELL CULTURES AND METHODS OF USING THE SAME | ABEYRATNE-PERERA, HASHANTHI KOMITIGE | — |
| 18556344 | METHOD OF DETECTING DISEASE RELATED BIOMARKERS IN BODILY FLUID SAMPLE | CASH, KAILEY ELIZABETH | — |
| 18266986 | WNT+ ADIPOCYTES, EXOSOMES FROM WNT+ ADIPOCYTES, AND METHODS OF MAKING AND USING THEM | SHOMER, ISAAC | — |
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 |
|---|---|---|---|
| 18302729 | ACTIVE MACHINE LEARNING MODEL FOR TARGETED MASS SPECTROMETRY DATA ANALYSIS | NGUYEN, NHAT HUY T | 3d overdue |
| 18556344 | METHOD OF DETECTING DISEASE RELATED BIOMARKERS IN BODILY FLUID SAMPLE | CASH, KAILEY ELIZABETH | — |
| 18266986 | WNT+ ADIPOCYTES, EXOSOMES FROM WNT+ ADIPOCYTES, AND METHODS OF MAKING AND USING THEM | SHOMER, ISAAC | — |
| Art Unit | Apps |
|---|---|
| 1632 | 1 |
| 1683 | 1 |
| 1636 | 1 |
| 1612 | 1 |
| 2147 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18864706 | HUYGENS METALENS | THOMAS, BRANDI N | — | §103 | Non-Final OA | — | Pending | Nov 11, 2024 |
| 18687179 | COMPOSITIONS AND SYSTEMS COMPRISING THREE-DIMENSIONAL NERVE CELL CULTURES AND METHODS OF USING THE SAME | ABEYRATNE-PERERA, HASHANTHI KOMITIGE | 1632 | §101§102 | Non-Final OA | — | Pending | Feb 27, 2024 |
| 18556344 | METHOD OF DETECTING DISEASE RELATED BIOMARKERS IN BODILY FLUID SAMPLE | CASH, KAILEY ELIZABETH | 1683 | §103§112 | Non-Final OA | — | Pending | Oct 19, 2023 |
| 18555477 | METHOD AND COMPOSITIONS FOR PREVENTING TUMOR DEVELOPMENT AND METASTASIS | YU, DELPHINUS DOU YI | 1636 | §112 | Non-Final OA | — | Pending | Oct 13, 2023 |
| 18266986 | WNT+ ADIPOCYTES, EXOSOMES FROM WNT+ ADIPOCYTES, AND METHODS OF MAKING AND USING THEM | SHOMER, ISAAC | 1612 | §101§112 | Final Rejection | — | Pending | Jun 13, 2023 |
| 18302729 | ACTIVE MACHINE LEARNING MODEL FOR TARGETED MASS SPECTROMETRY DATA ANALYSIS | NGUYEN, NHAT HUY T | 2147 | §102 | Final Rejection | 3d overdue | Pending | Apr 18, 2023 |
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