Prosecution Insights
Prosecution Insights
15 pending office actions • 6 art units • 12 examiners • 0 of 15 (0%) have an AI response strategy ready
Based on the USPTO statutory response window for each pending office action. 15 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. 15 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 (13%) |
| §103 only | 8 (53%) |
| No statute on record | 5 (33%) |
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 |
|---|---|---|---|
| LIU, GUOZHEN | 3 | 49.0% | +24.7% |
| WILDER, CYNTHIA B | 2 | 70.9% | +26.6% |
| FRUMKIN, JESSE P | 1 | 69.8% | +46.9% |
| SITTON, JEHANNE SOUAYA | 1 | 52.9% | +47.9% |
| NEGIN, RUSSELL SCOTT | 1 | 55.9% | +33.6% |
| HAQ, SHAFIQUL | 1 | 64.8% | +55.5% |
| LUO, JAMMY NMN | 1 | — | — |
| DAUNER, JOSEPH G | 1 | 56.8% | +34.8% |
| BUCHANAN, BAILEY CHEYENNE | 1 | 50.0% | +46.7% |
| BAILEY, STEVEN WILLIAM | 1 | 34.8% | +20.8% |
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 |
|---|---|---|---|
| 17845930 | METHODS OF IDENTIFYING SOMATIC MUTATIONAL SIGNATURES FOR EARLY CANCER DETECTION | LIU, GUOZHEN | 29d overdue |
| 17119606 | CANCER CLASSIFICATION USING PATCH CONVOLUTIONAL NEURAL NETWORKS | BAILEY, STEVEN WILLIAM | 15d |
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 |
|---|---|---|---|
| 18183002 | METHODS OF ANALYZING NUCLEIC ACID FRAGMENTS | WILDER, CYNTHIA B | 175d overdue |
| 17393609 | DETECTING CANCER, CANCER TISSUE OF ORIGIN, AND/OR A CANCER CELL TYPE | DAUNER, JOSEPH G | 132d overdue |
| 16460588 | MACHINE LEARNING VARIANT SOURCE ASSIGNMENT | LIU, GUOZHEN | 86d overdue |
| 18538995 | TISSUE-SPECIFIC METHYLATION MARKER | SITTON, JEHANNE SOUAYA | 49d overdue |
| 18267769 | PREPARATION OF NUCLEIC ACID SAMPLES FOR SEQUENCING | WILDER, CYNTHIA B | 49d overdue |
| 17993597 | SAMPLE CONTAMINATION DETECTION OF CONTAMINATED FRAGMENTS FOR CANCER CLASSIFICATION | NEGIN, RUSSELL SCOTT | 46d overdue |
| 18628166 | Anomalous Fragment Detection and Classification | LIU, GUOZHEN | 30d overdue |
| 17845930 | METHODS OF IDENTIFYING SOMATIC MUTATIONAL SIGNATURES FOR EARLY CANCER DETECTION | LIU, GUOZHEN | 29d overdue |
| Art Unit | Apps |
|---|---|
| 1686 | 6 |
| 1682 | 3 |
| 1681 | 2 |
| 1687 | 2 |
| 1685 | 1 |
| 1678 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18628166 | Anomalous Fragment Detection and Classification | LIU, GUOZHEN | 1686 | Other | Non-Final OA | 30d overdue | Pending | Apr 05, 2024 |
| 18605798 | Models for Targeted Sequencing | FRUMKIN, JESSE P | 1685 | Other | Non-Final OA | 22d | Pending | Mar 14, 2024 |
| 18538995 | TISSUE-SPECIFIC METHYLATION MARKER | SITTON, JEHANNE SOUAYA | 1682 | Other | Final Rejection | 49d overdue | Pending | Dec 13, 2023 |
| 18267769 | PREPARATION OF NUCLEIC ACID SAMPLES FOR SEQUENCING | WILDER, CYNTHIA B | 1681 | §103 | Non-Final OA | 49d overdue | Pending | Jun 15, 2023 |
| 18183002 | METHODS OF ANALYZING NUCLEIC ACID FRAGMENTS | WILDER, CYNTHIA B | 1681 | — | Non-Final OA | 175d overdue | Pending | Mar 13, 2023 |
| 17993597 | SAMPLE CONTAMINATION DETECTION OF CONTAMINATED FRAGMENTS FOR CANCER CLASSIFICATION | NEGIN, RUSSELL SCOTT | 1686 | §103 | Non-Final OA | 46d overdue | Pending | Nov 23, 2022 |
| 17931016 | METHODS FOR ANALYSIS OF TARGET MOLECULES IN BIOLOGICAL FLUIDS | HAQ, SHAFIQUL | 1678 | §103 | Non-Final OA | 20d | Pending | Sep 09, 2022 |
| 17845930 | METHODS OF IDENTIFYING SOMATIC MUTATIONAL SIGNATURES FOR EARLY CANCER DETECTION | LIU, GUOZHEN | 1686 | §101 | Final Rejection | 29d overdue | Pending | Jun 21, 2022 |
| 17714062 | CONDITIONAL TISSUE OF ORIGIN RETURN FOR LOCALIZATION ACCURACY | LUO, JAMMY NMN | 1686 | §103 | Non-Final OA | 13d | Pending | Apr 05, 2022 |
| 17393609 | DETECTING CANCER, CANCER TISSUE OF ORIGIN, AND/OR A CANCER CELL TYPE | DAUNER, JOSEPH G | 1682 | §103 | Final Rejection | 132d overdue | Pending | Aug 04, 2021 |
| 17384241 | DETECTING CANCER, CANCER TISSUE OF ORIGIN, AND/OR A CANCER CELL TYPE | BUCHANAN, BAILEY CHEYENNE | 1682 | §103 | Final Rejection | 23d | Pending | Jul 23, 2021 |
| 17119606 | CANCER CLASSIFICATION USING PATCH CONVOLUTIONAL NEURAL NETWORKS | BAILEY, STEVEN WILLIAM | 1687 | §101 | Non-Final OA | 15d | Pending | Dec 11, 2020 |
| 17050372 | SYSTEMS AND METHODS FOR USING PATHOGEN NUCLEIC ACID LOAD TO DETERMINE WHETHER A SUBJECT HAS A CANCER CONDITION | PLAYER, ROBERT AUSTIN | 1686 | Other | Non-Final OA | 97d overdue | Pending | Oct 23, 2020 |
| 16460588 | MACHINE LEARNING VARIANT SOURCE ASSIGNMENT | LIU, GUOZHEN | 1686 | §103 | Non-Final OA | 86d overdue | Pending | Jul 02, 2019 |
| 16417336 | INFERRING SELECTION IN WHITE BLOOD CELL MATCHED CELL-FREE DNA VARIANTS AND/OR IN RNA VARIANTS | VASSELL, MEREDITH ABBOTT | 1687 | §103 | Final Rejection | 30d overdue | Pending | May 20, 2019 |
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