Technology area: Biotechnology & Pharmaceuticals
2 pending office actions • 1 art units • 1 examiners • 0 of 2 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Inocras Korea Inc. has 2 pending office actions within the Biotechnology & Pharmaceuticals technology area. These actions are both assigned to 1 distinct examiner and 1 distinct art unit. This concentration indicates that the company's current patent prosecution is focused on a specific technical niche reviewed by a single official. The alignment of 1 examiner across 1 art unit for 2 actions provides a very consistent point of contact within the patent office.
The busiest examiner for the company is LIU, GUOZHEN, who manages 2 busiest examiner pending actions. Since there are 2 pending office actions in total, LIU, GUOZHEN is responsible for the entire active portfolio. This centralization means that the company's immediate patent outcomes depend on the interpretation of a single examiner. Practitioners should focus on the specific preferences and history of this 1 official when managing the company's intellectual property across these 2 pending matters.
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 only | 1 (50%) |
| §101 + other | 1 (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 |
|---|---|---|---|
| LIU, GUOZHEN | 2 | 48.1% | +26.0% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18944625 | METHOD AND APPARATUS FOR TRAINING MACHINE LEARNING MODEL FOR REMOVING NOISE IN DATA | LIU, GUOZHEN | 11d overdue |
| 18524758 | METHOD AND APPARATUS FOR DETECTING MINIMAL RESIDUAL DISEASE USING TUMOR INFORMATION | LIU, GUOZHEN | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18944625 | METHOD AND APPARATUS FOR TRAINING MACHINE LEARNING MODEL FOR REMOVING NOISE IN DATA | LIU, GUOZHEN | 11d overdue |
| 18524758 | METHOD AND APPARATUS FOR DETECTING MINIMAL RESIDUAL DISEASE USING TUMOR INFORMATION | LIU, GUOZHEN | — |
| Art Unit | Apps |
|---|---|
| 1686 | 2 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18944625 | METHOD AND APPARATUS FOR TRAINING MACHINE LEARNING MODEL FOR REMOVING NOISE IN DATA | LIU, GUOZHEN | 1686 | §101§103§112 | Final Rejection | 11d overdue | Pending | Nov 12, 2024 |
| 18524758 | METHOD AND APPARATUS FOR DETECTING MINIMAL RESIDUAL DISEASE USING TUMOR INFORMATION | LIU, GUOZHEN | 1686 | §101 | Final Rejection | — | Pending | Nov 30, 2023 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialInocras Korea Inc. has 2 pending office actions as of October 2026, spread across 1 art units and 1 examiners.
Guozhen Liu has the most, with 2 of Inocras Korea Inc.'s pending office actions.
Mostly Biotechnology & Pharmaceuticals (USPTO Tech Center 1600), based on where its pending office actions are examined.
