Prosecution Insights
Last updated: October 04, 2026

Neuro42 Inc.

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

Analysis

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.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

2
Total Pending OAs
0
Non-Final OAs
2
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

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.

1
Overdue
0
Due this week
0
Due this month
0
Due in next 60 days
0
Due later

Case Difficulty Mix

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.

1
Hard (50%)
1
Medium (50%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§103 only1 (50%)
Multi-statute (no §101)1 (50%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
0
Information Tech
0% of docket
1
Communications
50% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
50% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

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.

20 h
Manual time on pending OAs
4 h
Time saved (low, 20%)
7 h
Time saved (mid, 35%)
0.2 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
KAUR, JASPREET 1 77.8% +37.5%
FRITH, SEAN A 1 62.5% +26.7%

Hard Cases (1)

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 #TitleExaminerDue in
18147556 DEEP LEARNING SUPER-RESOLUTION TRAINING FOR ULTRA LOW-FIELD MAGNETIC RESONANCE IMAGING FRITH, SEAN A —

Interview Candidates (2)

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 #TitleExaminerDue 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 —

Top Art Units

Art UnitApps
2662 1
3798 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
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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