Technology areas: Communications • Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Neuro42 Inc. currently manages 2 pending office actions within the Communications technology area. These actions are distributed across 2 distinct examiners and 2 distinct art units. This distribution indicates that each pending matter is being handled by a unique examiner in a unique administrative section of the patent office. For the applicant, this means that successful strategies used in 1 office action may not directly translate to the other, as the examiners and art units operate independently. The involvement of 2 distinct examiners ensures that each matter is evaluated separately.
The busiest examiner for this portfolio is KAUR, JASPREET, who is currently responsible for 1 pending office action. Since there are 2 pending office actions in total, this examiner's work represents a portion of the active prosecution for the company. The involvement of 2 distinct art units suggests that the communications applications may involve different technical classifications. Practitioners must prepare for distinct examination styles, as the 2 distinct examiners will likely apply the specific guidelines of their respective art units without cross-pollination of ideas. Managing these 2 pending office actions requires a versatile approach to the Communications sector.
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 |
|---|---|
| §103 only | 1 (50%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| KAUR, JASPREET | 1 | 77.8% | +37.5% |
| FRITH, SEAN A | 1 | 62.5% | +26.7% |
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 |
|---|---|---|---|
| 18147556 | DEEP LEARNING SUPER-RESOLUTION TRAINING FOR ULTRA LOW-FIELD MAGNETIC RESONANCE IMAGING | FRITH, SEAN A | — |
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 |
|---|---|---|---|
| 18407758 | DISTORTION CORRECTION OF LOW FIELD MAGNETIC RESONANCE IMAGES WITH PAIRED HIGH FIELD MAGNETIC RESONANCE IMAGES USING MACHINE LEARNING | KAUR, JASPREET | 80d overdue |
| 18147556 | DEEP LEARNING SUPER-RESOLUTION TRAINING FOR ULTRA LOW-FIELD MAGNETIC RESONANCE IMAGING | FRITH, SEAN A | — |
| Art Unit | Apps |
|---|---|
| 2662 | 1 |
| 3798 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18407758 | DISTORTION CORRECTION OF LOW FIELD MAGNETIC RESONANCE IMAGES WITH PAIRED HIGH FIELD MAGNETIC RESONANCE IMAGES USING MACHINE LEARNING | KAUR, JASPREET | 2662 | §103 | Final Rejection | 80d overdue | Pending | Jan 09, 2024 |
| 18147556 | DEEP LEARNING SUPER-RESOLUTION TRAINING FOR ULTRA LOW-FIELD MAGNETIC RESONANCE IMAGING | FRITH, SEAN A | 3798 | §102§103 | Final Rejection | — | Pending | Dec 28, 2022 |
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