Prosecution Insights
Prosecution Insights
Technology area: Medical Devices & Mechanical Engineering
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Isbrg Corp. is active in the Medical Devices & Mechanical Engineering technology area. The company currently has 1 pending office action. This action is assigned to 1 distinct examiner and 1 distinct art unit. This indicates a concentrated effort in a specific area of medical or mechanical engineering.
GROSS, JASON PATRICK is the busiest examiner for this portfolio. This examiner is responsible for 1 pending office action. Since there is only 1 pending office action in the portfolio, GROSS, JASON PATRICK handles the entire current workload. This concentration indicates a singular point of contact for the company's pending matters. With 1 distinct examiner and 1 distinct art unit, the prosecution environment is highly localized. Practitioners should note that the company's immediate patent prospects are determined by a single examiner. This streamlined profile, consisting of 1 pending office action, suggests a focused approach to securing patent rights in the Medical Devices & Mechanical Engineering sector.
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 (100%) |
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 |
|---|---|---|---|
| GROSS, JASON PATRICK | 1 | 64.0% | +43.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18546244 | NON-INVASIVE DETERMINATION OF A PHYSIOLOGICAL STATE OF INTEREST IN A SUBJECT FROM SPECTRAL DATA PROCESSED USING A TRAINED MACHINE LEARNING MODEL | GROSS, JASON PATRICK | — |
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 |
|---|---|---|---|
| 18546244 | NON-INVASIVE DETERMINATION OF A PHYSIOLOGICAL STATE OF INTEREST IN A SUBJECT FROM SPECTRAL DATA PROCESSED USING A TRAINED MACHINE LEARNING MODEL | GROSS, JASON PATRICK | — |
| Art Unit | Apps |
|---|---|
| 3797 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18546244 | NON-INVASIVE DETERMINATION OF A PHYSIOLOGICAL STATE OF INTEREST IN A SUBJECT FROM SPECTRAL DATA PROCESSED USING A TRAINED MACHINE LEARNING MODEL | GROSS, JASON PATRICK | 3797 | §101§102§103§112 | Non-Final OA | — | Pending | Aug 11, 2023 |
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