Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Sema4 Opco Inc. manages a patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. Currently, the company has 1 pending office action. This matter is assigned to 1 distinct examiner, SHELDEN, BION A, within 1 distinct art unit. SHELDEN, BION A is the busiest examiner with 1 busiest examiner pending. This means that the company's current prosecution success depends on this 1 distinct examiner. The concentration in 1 distinct art unit indicates a specific technical focus for the pending application.
With only 1 pending office action, the portfolio is in a phase of low-volume activity. Practitioners should be aware that the lack of examiner diversity means there is no internal baseline for comparing examiner behavior. Consequently, the immediate success of the company's patent strategy depends on the interactions with SHELDEN, BION A. Every response to the 1 pending office action must be carefully tailored to the specific examination style of the 1 distinct examiner. This concentration means that the company's immediate patent prospects are shaped by a single individual's interpretation within the 1 distinct art unit. For a portfolio of this scale, the focus is on a single high-priority application.
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 |
|---|---|---|---|
| SHELDEN, BION A | 1 | 22.5% | +18.7% |
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 |
|---|---|---|---|
| 17822206 | METHODS AND SYSTEMS FOR MACHINE LEARNING-POWERED IDENTIFICATION OF CANCER DIAGNOSES AND DIAGNOSIS DATES FROM ELECTRONIC HEALTH RECORDS | SHELDEN, BION 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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17822206 | METHODS AND SYSTEMS FOR MACHINE LEARNING-POWERED IDENTIFICATION OF CANCER DIAGNOSES AND DIAGNOSIS DATES FROM ELECTRONIC HEALTH RECORDS | SHELDEN, BION A | — |
| Art Unit | Apps |
|---|---|
| 3685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17822206 | METHODS AND SYSTEMS FOR MACHINE LEARNING-POWERED IDENTIFICATION OF CANCER DIAGNOSES AND DIAGNOSIS DATES FROM ELECTRONIC HEALTH RECORDS | SHELDEN, BION A | 3685 | §101§103 | Final Rejection | — | Pending | Aug 25, 2022 |
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