Prosecution Insights
Prosecution Insights
Technology area: Biotechnology & Pharmaceuticals
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Centre For Novostics has 3 pending office actions in its patent portfolio, all of which fall under the Biotechnology & Pharmaceuticals technology area. These actions are being reviewed by 3 distinct examiners, meaning that each pending matter is under the supervision of a different official. Despite the variety of examiners, all 3 pending actions are concentrated within 1 distinct art unit. This suggests that while the company interacts with multiple individuals, its current prosecution is confined to a single administrative group.
CHRISTINE MICHELLE JONES is identified as the busiest examiner for the portfolio, with 1 pending office action. Since the busiest examiner handles only 1 action, the workload is distributed among the 3 distinct examiners. This structure requires the company to manage multiple examiner relationships within the same 1 distinct art unit. The focus on the Biotechnology & Pharmaceuticals area indicates a highly specialized prosecution path. Practitioners should prepare for consistent art unit policies applied by multiple examiners.
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 (67%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| JONES, CHRISTINE MICHELLE | 1 | 0.0% | +0.0% |
| RUIZ, ANGELICA | 1 | 83.2% | +14.5% |
| VANN-OJUEKAIYE, KENDRA RAYCHELL | 1 | 0.0% | +0.0% |
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 |
|---|---|---|---|
| 18586250 | SINGLE-MOLECULE STRAND-SPECIFIC END MODALITIES | JONES, CHRISTINE MICHELLE | — |
| 18542251 | MACHINE LEARNING TECHNIQUES TO DETERMINE BASE METHYLATIONS | RUIZ, ANGELICA | — |
| 18523606 | FRAGMENTOMICS IN URINE AND PLASMA | VANN-OJUEKAIYE, KENDRA RAYCHELL | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18542251 | MACHINE LEARNING TECHNIQUES TO DETERMINE BASE METHYLATIONS | RUIZ, ANGELICA | — |
| Art Unit | Apps |
|---|---|
| 1682 | 2 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18586250 | SINGLE-MOLECULE STRAND-SPECIFIC END MODALITIES | JONES, CHRISTINE MICHELLE | 1682 | §101§102§103§112DP | Non-Final OA | — | Pending | Feb 23, 2024 |
| 18542251 | MACHINE LEARNING TECHNIQUES TO DETERMINE BASE METHYLATIONS | RUIZ, ANGELICA | — | §101§102Other | Non-Final OA | — | Pending | Dec 15, 2023 |
| 18523606 | FRAGMENTOMICS IN URINE AND PLASMA | VANN-OJUEKAIYE, KENDRA RAYCHELL | 1682 | §103§112 | Non-Final OA | — | Pending | Nov 29, 2023 |
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