Technology areas: Computing & Software • Medical Devices & Mechanical Engineering
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready
The Covid Detection Foundation D/B/A Virufy has 2 pending office actions in the Computing & Software technology area. These actions are split between 2 distinct examiners and 2 distinct art units. This structure indicates that each of the 2 pending office actions is being handled by a different examiner in a different administrative unit. The involvement of 2 distinct art units suggests that the foundation's software technology is being evaluated by different specialized groups within the office.
STORK, KYLE R is the busiest examiner for the portfolio, with 1 pending office action. This examiner is one of the distinct examiners currently reviewing the company's pending office actions. With 2 pending office actions total, the workload is evenly divided, with each examiner and each art unit managing exactly one matter. This distribution means that the foundation's prosecution outcomes are subject to the individual practices of two different examiners in two different units.
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 | 2 (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 |
|---|---|---|---|
| STORK, KYLE R | 1 | 63.2% | +28.7% |
| MULLINS, JESSICA LYNN | 1 | 50.5% | +33.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18584936 | COMPLEX CLIPPING FOR IMPROVED GENERALIZATION IN MACHINE LEARNING | STORK, KYLE R | — |
| 18329461 | ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES USING INPUT FROM MOBILE COMPUTING DEVICES TO DIAGNOSE MEDICAL ISSUES | MULLINS, JESSICA LYNN | — |
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 |
|---|---|---|---|
| 18584936 | COMPLEX CLIPPING FOR IMPROVED GENERALIZATION IN MACHINE LEARNING | STORK, KYLE R | — |
| 18329461 | ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES USING INPUT FROM MOBILE COMPUTING DEVICES TO DIAGNOSE MEDICAL ISSUES | MULLINS, JESSICA LYNN | — |
| Art Unit | Apps |
|---|---|
| 2128 | 1 |
| 3792 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18584936 | COMPLEX CLIPPING FOR IMPROVED GENERALIZATION IN MACHINE LEARNING | STORK, KYLE R | 2128 | §101§102§103§112 | Non-Final OA | — | Pending | Feb 22, 2024 |
| 18329461 | ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNIQUES USING INPUT FROM MOBILE COMPUTING DEVICES TO DIAGNOSE MEDICAL ISSUES | MULLINS, JESSICA LYNN | 3792 | §101§102§103§112 | Non-Final OA | — | Pending | Jun 05, 2023 |
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Start Free TrialThe Covid Detection Foundation D/B/A Virufy has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Kyle R Stork has the most, with 1 of The Covid Detection Foundation D/B/A Virufy's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
