Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Medical Devices & Mechanical Engineering
4 pending office actions • 2 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Aalborg University has 4 pending office actions in the Medical Devices & Mechanical Engineering technology area. These matters are handled by 4 distinct examiners across 2 distinct art units, reflecting a distributed prosecution effort for the university's current filings. Each of the 4 pending actions is assigned to a different examiner.
The busiest examiner for the portfolio is DOUGHERTY, SEAN PATRICK, who is managing 1 pending office action. This is one of the 4 total pending actions currently active for the university. Since there are 4 distinct examiners for the 4 actions, the workload is perfectly balanced among the individuals assigned to the 2 distinct art units. The 1 pending office action assigned to DOUGHERTY, SEAN PATRICK is the only one for that examiner.
Practitioners should note that the 4 pending office actions are split between 2 distinct art units, requiring a strategy that accounts for two different technical groups. With 4 distinct examiners involved, the university must manage four separate examiner relationships. The outcome of the 4 pending actions will depend on the specific interactions within the Medical Devices & Mechanical Engineering technology area.
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%) |
| §103 only | 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 |
|---|---|---|---|
| DOUGHERTY, SEAN PATRICK | 1 | 74.7% | +15.7% |
| LOPEZ ALVAREZ, OLVIN | 1 | 48.9% | +43.3% |
| HOFFPAUIR, ANDREW ELI | 1 | 41.4% | +52.1% |
| TOMBERS, JOSEPH A | 1 | 49.8% | +32.1% |
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 # | Title | Examiner | Due in |
|---|---|---|---|
| 17601104 | Identification and Quantification of A Ventilatory Disturbance Causing Incorrect Measurement Of Arterial Acid-Base Status | HOFFPAUIR, ANDREW ELI | 31d overdue |
| 16309904 | CARDIOVASCULAR AND CARDIORESPIRATORY FITNESS DETERMINATION | TOMBERS, JOSEPH A | 28d |
| 19108279 | EXPLAINABLE DEEP LEARNING METHOD FOR NON-INVASIVE DETECTION OF PULMONARY HYPERTENSION FROM HEART SOUNDS | DOUGHERTY, SEAN PATRICK | — |
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 |
|---|---|---|---|
| 17601104 | Identification and Quantification of A Ventilatory Disturbance Causing Incorrect Measurement Of Arterial Acid-Base Status | HOFFPAUIR, ANDREW ELI | 31d overdue |
| 16309904 | CARDIOVASCULAR AND CARDIORESPIRATORY FITNESS DETERMINATION | TOMBERS, JOSEPH A | 28d |
| 19108279 | EXPLAINABLE DEEP LEARNING METHOD FOR NON-INVASIVE DETECTION OF PULMONARY HYPERTENSION FROM HEART SOUNDS | DOUGHERTY, SEAN PATRICK | — |
| 18003824 | A METHOD FOR PROCESSING ELEMENTS INTO FINAL ELEMENTS | LOPEZ ALVAREZ, OLVIN | — |
| Art Unit | Apps |
|---|---|
| 3791 | 2 |
| 2117 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19108279 | EXPLAINABLE DEEP LEARNING METHOD FOR NON-INVASIVE DETECTION OF PULMONARY HYPERTENSION FROM HEART SOUNDS | DOUGHERTY, SEAN PATRICK | — | §101§103§112 | Non-Final OA | — | Pending | Mar 03, 2025 |
| 18003824 | A METHOD FOR PROCESSING ELEMENTS INTO FINAL ELEMENTS | LOPEZ ALVAREZ, OLVIN | 2117 | §103 | Non-Final OA | — | Pending | Dec 29, 2022 |
| 17601104 | Identification and Quantification of A Ventilatory Disturbance Causing Incorrect Measurement Of Arterial Acid-Base Status | HOFFPAUIR, ANDREW ELI | 3791 | §101§112 | Non-Final OA | 31d overdue | Pending | Oct 04, 2021 |
| 16309904 | CARDIOVASCULAR AND CARDIORESPIRATORY FITNESS DETERMINATION | TOMBERS, JOSEPH A | 3791 | §101 | Final Rejection | 28d | Pending | Dec 13, 2018 |
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