Prosecution Insights
Prosecution Insights
12 pending office actions • 8 art units • 11 examiners • 0 of 12 (0%) have an AI response strategy ready • 47 patents granted in the last 365 days
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 + other | 1 (8%) |
| §103 only | 2 (17%) |
| §102 only | 1 (8%) |
| §112 only | 1 (8%) |
| Double-patenting only | 2 (17%) |
| Double-patenting + other | 1 (8%) |
| Multi-statute (no §101) | 3 (25%) |
| No statute on record | 1 (8%) |
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 |
|---|---|---|---|
| NGUYEN, NAM P | 2 | 54.7% | +47.4% |
| REYES, REGINALD R | 1 | 40.8% | +31.8% |
| WINDSOR, COURTNEY J | 1 | 86.1% | +9.3% |
| DESIRE, GREGORY M | 1 | 90.6% | +6.0% |
| ROYSTON, JOHN M | 1 | 77.9% | +16.6% |
| MAHROUKA, WASSIM | 1 | 86.0% | +7.8% |
| HAQ, SHAFIQUL | 1 | 65.0% | +55.1% |
| NGUYEN, THONG Q | 1 | 67.6% | +12.1% |
| LI, SUN M | 1 | 52.8% | +28.0% |
| VANNI, GEORGE STEVEN | 1 | 67.2% | +24.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18920871 | METHODS AND SYSTEMS FOR EVALUATION OF IMMUNE CELL INFILTRATE IN TUMOR SAMPLES | WINDSOR, COURTNEY J | — |
| 18887979 | MULTI-CLASS INTERACTIVE SEGMENTATION GRAPHICAL USER INTERFACE | DESIRE, GREGORY M | — |
| 18592418 | MACHINE-LEARNING TECHNIQUES FOR PREDICTING PHENOTYPES IN DUPLEX DIGITAL PATHOLOGY IMAGES | MAHROUKA, WASSIM | — |
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 |
|---|---|---|---|
| 19009479 | REPRESENTATIVE DATASETS FOR BIOMEDICAL MACHINE LEARNING MODELS | REYES, REGINALD R | — |
| 18760867 | DIGITALLY ENHANCED MICROSCOPY FOR MULTIPLEXED HISTOLOGY | NGUYEN, NAM P | — |
| 18373328 | PROXIMITY ASSAYS USING CHEMICAL LIGATION AND HAPTEN TRANSFER | HAQ, SHAFIQUL | — |
| 18036796 | IMAGE SCANNING APPARATUS AND METHOD | NGUYEN, THONG Q | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 16442091 | METHODS AND SYSTEMS FOR QUANTITATIVE IMMUNOHISTOCHEMISTRY | NGUYEN, NAM P | 38d overdue |
| 17577604 | SYSTEMS AND METHODS FOR ASSESSING SPECIMEN FIXATION DURATION AND QUALITY USING VIBRATIONAL SPECTROSCOPY | VANNI, GEORGE STEVEN | 70d |
| 19009479 | REPRESENTATIVE DATASETS FOR BIOMEDICAL MACHINE LEARNING MODELS | REYES, REGINALD R | — |
| 18779330 | SYSTEM AND METHOD FOR SAMPLE PROCESSING | ROYSTON, JOHN M | — |
| 18760867 | DIGITALLY ENHANCED MICROSCOPY FOR MULTIPLEXED HISTOLOGY | NGUYEN, NAM P | — |
| 18373328 | PROXIMITY ASSAYS USING CHEMICAL LIGATION AND HAPTEN TRANSFER | HAQ, SHAFIQUL | — |
| 18036796 | IMAGE SCANNING APPARATUS AND METHOD | NGUYEN, THONG Q | — |
| 17584466 | ASSESSING ANTIGEN RETRIEVAL AND TARGET RETRIEVAL PROGRESSION WITH VIBRATIONAL SPECTROSCOPY | LI, SUN M | — |
| Art Unit | Apps |
|---|---|
| 1678 | 3 |
| 3684 | 1 |
| 2855 | 1 |
| 2665 | 1 |
| 2872 | 1 |
| 3685 | 1 |
| 1686 | 1 |
| 1643 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19009479 | REPRESENTATIVE DATASETS FOR BIOMEDICAL MACHINE LEARNING MODELS | REYES, REGINALD R | 3684 | §101§102Other | Non-Final OA | — | Pending | Jan 03, 2025 |
| 18920871 | METHODS AND SYSTEMS FOR EVALUATION OF IMMUNE CELL INFILTRATE IN TUMOR SAMPLES | WINDSOR, COURTNEY J | — | DP | Non-Final OA | — | Pending | Oct 19, 2024 |
| 18887979 | MULTI-CLASS INTERACTIVE SEGMENTATION GRAPHICAL USER INTERFACE | DESIRE, GREGORY M | — | §102 | Non-Final OA | — | Pending | Sep 17, 2024 |
| 18779330 | SYSTEM AND METHOD FOR SAMPLE PROCESSING | ROYSTON, JOHN M | 2855 | DP | Non-Final OA | — | Pending | Jul 22, 2024 |
| 18760867 | DIGITALLY ENHANCED MICROSCOPY FOR MULTIPLEXED HISTOLOGY | NGUYEN, NAM P | 1678 | §103§112 | Final Rejection | — | Pending | Jul 01, 2024 |
| 18592418 | MACHINE-LEARNING TECHNIQUES FOR PREDICTING PHENOTYPES IN DUPLEX DIGITAL PATHOLOGY IMAGES | MAHROUKA, WASSIM | 2665 | §103 | Non-Final OA | — | Pending | Feb 29, 2024 |
| 18373328 | PROXIMITY ASSAYS USING CHEMICAL LIGATION AND HAPTEN TRANSFER | HAQ, SHAFIQUL | 1678 | §102§103§112 | Non-Final OA | — | Pending | Sep 27, 2023 |
| 18036796 | IMAGE SCANNING APPARATUS AND METHOD | NGUYEN, THONG Q | 2872 | §103§112 | Non-Final OA | — | Pending | May 12, 2023 |
| 17584466 | ASSESSING ANTIGEN RETRIEVAL AND TARGET RETRIEVAL PROGRESSION WITH VIBRATIONAL SPECTROSCOPY | LI, SUN M | 3685 | — | Non-Final OA | — | Pending | Jan 26, 2022 |
| 17577604 | SYSTEMS AND METHODS FOR ASSESSING SPECIMEN FIXATION DURATION AND QUALITY USING VIBRATIONAL SPECTROSCOPY | VANNI, GEORGE STEVEN | 1686 | §103§112DPOther | Non-Final OA | 70d | Pending | Jan 18, 2022 |
| 15734301 | UNIVERSAL OR NORMALIZED ANTIBODY FRAMEWORKS FOR IMPROVED FUNCTIONALITY AND MANUFACTURABILITY | BRISTOL, LYNN ANNE | 1643 | §112 | Non-Final OA | — | Pending | Dec 02, 2020 |
| 16442091 | METHODS AND SYSTEMS FOR QUANTITATIVE IMMUNOHISTOCHEMISTRY | NGUYEN, NAM P | 1678 | §103 | Non-Final OA | 38d overdue | Pending | Jun 14, 2019 |
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