Prosecution Insights
Last updated: October 04, 2026

Imb Dx Inc.

Technology area: Biotechnology & Pharmaceuticals

3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready

Analysis

Imb Dx Inc. operates in the Biotechnology & Pharmaceuticals technology area. The portfolio currently has 3 pending office actions, indicating a steady level of prosecution activity. These actions are distributed across 3 distinct examiners, which means that the workload is spread among multiple individuals at the patent office.

The busiest examiner identified for this portfolio is HAYES, JONATHAN EDWARD, who is responsible for 1 pending office action. Because the total number of pending actions is 3 and there are 3 distinct examiners, HAYES, JONATHAN EDWARD handles the same number of actions as the other examiners. This lack of examiner concentration requires practitioners to manage multiple separate examiner relationships simultaneously.

Despite the involvement of 3 distinct examiners, all prosecution activity is contained within 1 distinct art unit. This indicates that while the examiners differ, the technical focus of the Biotechnology & Pharmaceuticals innovations remains within a single administrative division. Practitioners can benefit from a consistent set of art unit guidelines, even as they adapt their arguments to the individual styles of the assigned examiners.

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

Portfolio Summary

3
Total Pending OAs
2
Non-Final OAs
1
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.

3
Hard (100%)
0
Medium (0%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other3 (100%)

Industry Mix

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

1
Life Sciences
33% of docket
0
Information Tech
0% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
2
Business / Other
67% 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.

30 h
Manual time on pending OAs
6 h
Time saved (low, 20%)
10 h
Time saved (mid, 35%)
0.3 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
HAYES, JONATHAN EDWARD 1 36.4% +20.7%
SALMON, KATHERINE D 1 42.8% +37.9%
NGUYEN, PETER 1 — —

Hard Cases (3)

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 #TitleExaminerDue in
18027425 METHOD OF PREDICTING CANCER RECURRENCE USING PATIENT-SPECIFIC PANEL SALMON, KATHERINE D 28d overdue
18027792 METHOD FOR PREPARATION OF MULTI-ANALYTICAL PREDICTION MODEL FOR CANCER DIAGNOSIS HAYES, JONATHAN EDWARD —
18025529 METHOD OF IDENTIFYING FALSE POSITIVE VARIANTS IN NUCLEIC ACID SEQUENCING NGUYEN, PETER —

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
18027425 METHOD OF PREDICTING CANCER RECURRENCE USING PATIENT-SPECIFIC PANEL SALMON, KATHERINE D 28d overdue
18027792 METHOD FOR PREPARATION OF MULTI-ANALYTICAL PREDICTION MODEL FOR CANCER DIAGNOSIS HAYES, JONATHAN EDWARD —

Top Art Units

Art UnitApps
1682 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18027792 METHOD FOR PREPARATION OF MULTI-ANALYTICAL PREDICTION MODEL FOR CANCER DIAGNOSIS HAYES, JONATHAN EDWARD — §101§103§112 Non-Final OA — Pending Mar 22, 2023
18027425 METHOD OF PREDICTING CANCER RECURRENCE USING PATIENT-SPECIFIC PANEL SALMON, KATHERINE D 1682 §101§102§112 Final Rejection 28d overdue Pending Mar 21, 2023
18025529 METHOD OF IDENTIFYING FALSE POSITIVE VARIANTS IN NUCLEIC ACID SEQUENCING NGUYEN, PETER — §101§103§112 Non-Final OA — Pending Mar 09, 2023

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