Technology area: Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Twin Health, Inc. manages a company patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. The portfolio currently has 5 pending office actions. These actions are distributed among 5 distinct examiners and 4 distinct art units. This distribution indicates a high degree of examiner diversity, with some overlap in the technical departments handling the applications at the patent office.
The busiest examiner for Twin Health, Inc. is LUAN, SCOTT, who is handling 1 busiest examiner pending office action. With 5 pending office actions and 5 distinct examiners, no single examiner holds a majority of the workload. The use of 4 distinct art units for 5 actions suggests that at least two applications are being processed within the same technical unit. For a practitioner, this requires managing five separate prosecution tracks while potentially benefiting from some consistency in art unit policies for a portion of the portfolio. This diversity necessitates a versatile approach to patent strategy across the transportation and e-commerce sectors while monitoring the 4 distinct art units for procedural trends.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 | 2 (40%) |
| §101 + other | 2 (40%) |
| No statute on record | 1 (20%) |
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 |
|---|---|---|---|
| LUAN, SCOTT | 1 | 65.6% | +12.2% |
| SOREY, ROBERT A | 1 | 49.4% | +45.3% |
| TOKARCZYK, CHRISTOPHER B | 1 | 44.3% | +23.4% |
| PATEL, JAY M | 1 | 65.0% | +39.6% |
| RUIZ, JOSHUA DAMIAN | 1 | 0.0% | +0.0% |
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 |
|---|---|---|---|
| 18623790 | DYNAMICALLY MODELING THE EFFECT OF FOOD ITEMS AND ACTIVITY ON A PATIENT'S METABOLIC HEALTH | SOREY, ROBERT A | 59d overdue |
| 18508197 | PRECISION BIOLOGY SEARCH WITH MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGY | TOKARCZYK, CHRISTOPHER B | 44d overdue |
| 17963933 | Generating Instructions for Physical Experiments Using Whole Body Digital Twin Technology | PATEL, JAY M | 23d overdue |
| 17963932 | Generating Patient Cohorts for Simulating Clinical Trials Using Whole Body Digital Twin Technology | RUIZ, JOSHUA DAMIAN | — |
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 |
|---|---|---|---|
| 18623790 | DYNAMICALLY MODELING THE EFFECT OF FOOD ITEMS AND ACTIVITY ON A PATIENT'S METABOLIC HEALTH | SOREY, ROBERT A | 59d overdue |
| 18508197 | PRECISION BIOLOGY SEARCH WITH MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGY | TOKARCZYK, CHRISTOPHER B | 44d overdue |
| 17963933 | Generating Instructions for Physical Experiments Using Whole Body Digital Twin Technology | PATEL, JAY M | 23d overdue |
| 19217524 | METABOLIC HEALTH USING A PRECISION TREATMENT PLATFORM ENABLED BY WHOLE BODY DIGITAL TWIN TECHNOLOGY | LUAN, SCOTT | — |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| 3687 | 1 |
| 3681 | 1 |
| 3684 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19217524 | METABOLIC HEALTH USING A PRECISION TREATMENT PLATFORM ENABLED BY WHOLE BODY DIGITAL TWIN TECHNOLOGY | LUAN, SCOTT | — | Other | Non-Final OA | — | Pending | May 23, 2025 |
| 18623790 | DYNAMICALLY MODELING THE EFFECT OF FOOD ITEMS AND ACTIVITY ON A PATIENT'S METABOLIC HEALTH | SOREY, ROBERT A | 3682 | §101 | Non-Final OA | 59d overdue | Pending | Apr 01, 2024 |
| 18508197 | PRECISION BIOLOGY SEARCH WITH MACHINE LEARNING AND DIGITAL TWIN TECHNOLOGY | TOKARCZYK, CHRISTOPHER B | 3687 | §101 | Final Rejection | 44d overdue | Pending | Nov 13, 2023 |
| 17963933 | Generating Instructions for Physical Experiments Using Whole Body Digital Twin Technology | PATEL, JAY M | 3681 | §101§112 | Final Rejection | 23d overdue | Pending | Oct 11, 2022 |
| 17963932 | Generating Patient Cohorts for Simulating Clinical Trials Using Whole Body Digital Twin Technology | RUIZ, JOSHUA DAMIAN | 3684 | §101§103 | Non-Final OA | — | Pending | Oct 11, 2022 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialTwin Health, Inc. has 5 pending office actions as of October 2026, spread across 4 art units and 5 examiners.
Scott Luan has the most, with 1 of Twin Health, Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
