Technology areas: Biotechnology & Pharmaceuticals • Communications
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Sophia Genetics S A currently has 4 pending office actions within the Biotechnology & Pharmaceuticals technology area. These 4 pending matters are distributed among 4 distinct examiners. The applications are spread across 3 distinct art units, reflecting a diverse technical range within the biotechnology sector and engagement with multiple specialized groups at the patent office.
The busiest examiner for the portfolio is CODRINGTON, SHANE WRENSFORD, who is handling 1 pending office action. With 4 pending office actions and 4 distinct examiners, the workload is perfectly distributed, with each examiner managing exactly one action. This distribution across 3 distinct art units suggests that the company is navigating several different examination environments for its 4 pending office actions.
Practitioners should note that the involvement of 4 distinct examiners across 3 distinct art units requires a coordinated approach to ensure consistency. While CODRINGTON, SHANE WRENSFORD is the busiest examiner with 1 pending office action, the uniform workload distribution means that each examiner's individual style will be equally important. Monitoring the trends within the 3 distinct art units will be essential for the success of the Biotechnology & Pharmaceuticals portfolio.
Based on the USPTO statutory response window for each pending office action. 2 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 |
|---|---|
| §101 only | 1 (25%) |
| §101 + other | 2 (50%) |
| Multi-statute (no §101) | 1 (25%) |
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 |
|---|---|---|---|
| CODRINGTON, SHANE WRENSFORD | 1 | 83.3% | +20.8% |
| LIU, GUOZHEN | 1 | 48.5% | +25.4% |
| KRIANGCHAIVECH, KETTIP | 1 | 19.3% | +28.7% |
| BICKHAM, DAWN MARIE | 1 | 46.2% | +64.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17688791 | METHODS FOR IDENTIFYING CHROMOSOMAL SPATIAL INSTABILITY SUCH AS HOMOLOGOUS REPAIR DEFICIENCY IN LOW COVERAGE NEXT- GENERATION SEQUENCING DATA | KRIANGCHAIVECH, KETTIP | 13d |
| 17438462 | METHODS FOR DETECTING AND CHARACTERIZING MICROSATELLITE INSTABILITY WITH HIGH THROUGHPUT SEQUENCING | BICKHAM, DAWN MARIE | 13d |
| 18871392 | METHODS OF RADIOMICS FEATURES EXTRACTION | CODRINGTON, SHANE WRENSFORD | — |
| 18670687 | METHODS FOR DETECTING VARIANTS IN NEXT-GENERATION SEQUENCING GENOMIC DATA | LIU, GUOZHEN | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17688791 | METHODS FOR IDENTIFYING CHROMOSOMAL SPATIAL INSTABILITY SUCH AS HOMOLOGOUS REPAIR DEFICIENCY IN LOW COVERAGE NEXT- GENERATION SEQUENCING DATA | KRIANGCHAIVECH, KETTIP | 13d |
| 17438462 | METHODS FOR DETECTING AND CHARACTERIZING MICROSATELLITE INSTABILITY WITH HIGH THROUGHPUT SEQUENCING | BICKHAM, DAWN MARIE | 13d |
| 18871392 | METHODS OF RADIOMICS FEATURES EXTRACTION | CODRINGTON, SHANE WRENSFORD | — |
| 18670687 | METHODS FOR DETECTING VARIANTS IN NEXT-GENERATION SEQUENCING GENOMIC DATA | LIU, GUOZHEN | — |
| Art Unit | Apps |
|---|---|
| 1686 | 2 |
| 2667 | 1 |
| 1685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18871392 | METHODS OF RADIOMICS FEATURES EXTRACTION | CODRINGTON, SHANE WRENSFORD | 2667 | §102§103 | Non-Final OA | — | Pending | Dec 03, 2024 |
| 18670687 | METHODS FOR DETECTING VARIANTS IN NEXT-GENERATION SEQUENCING GENOMIC DATA | LIU, GUOZHEN | 1686 | §101§103§112Other | Non-Final OA | — | Pending | May 21, 2024 |
| 17688791 | METHODS FOR IDENTIFYING CHROMOSOMAL SPATIAL INSTABILITY SUCH AS HOMOLOGOUS REPAIR DEFICIENCY IN LOW COVERAGE NEXT- GENERATION SEQUENCING DATA | KRIANGCHAIVECH, KETTIP | 1686 | §101§103 | Non-Final OA | 13d | Pending | Mar 07, 2022 |
| 17438462 | METHODS FOR DETECTING AND CHARACTERIZING MICROSATELLITE INSTABILITY WITH HIGH THROUGHPUT SEQUENCING | BICKHAM, DAWN MARIE | 1685 | §101Other | Final Rejection | 13d | Pending | Sep 12, 2021 |
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