Technology areas: Biotechnology & Pharmaceuticals • Computing & Software
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Neumora Therapeutics Inc. has 2 pending office actions in Computing & Software. The matters involve 2 examiners and 2 art units, so prosecution is divided across distinct assignments.
HANKS, BENJAMIN L is the busiest examiner, with 1 pending matter. Each response should be managed in light of its particular examiner and art-unit context.
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 |
|---|---|---|---|
| HANKS, BENJAMIN L | 1 | 21.4% | +30.3% |
| SCHULTZHAUS, JANNA NICOLE | 1 | 35.4% | +38.2% |
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 |
|---|---|---|---|
| 18370818 | CONDITIONING MULTI-MODAL PATIENT DATA | HANKS, BENJAMIN L | — |
| 18212690 | MACHINE LEARNING FOR PREDICTING RESPONSE SCORES FOR DRUGS | SCHULTZHAUS, JANNA NICOLE | — |
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 |
|---|---|---|---|
| 18370818 | CONDITIONING MULTI-MODAL PATIENT DATA | HANKS, BENJAMIN L | — |
| 18212690 | MACHINE LEARNING FOR PREDICTING RESPONSE SCORES FOR DRUGS | SCHULTZHAUS, JANNA NICOLE | — |
| Art Unit | Apps |
|---|---|
| 2124 | 1 |
| 1685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18370818 | CONDITIONING MULTI-MODAL PATIENT DATA | HANKS, BENJAMIN L | 2124 | §101§103 | Non-Final OA | — | Pending | Sep 20, 2023 |
| 18212690 | MACHINE LEARNING FOR PREDICTING RESPONSE SCORES FOR DRUGS | SCHULTZHAUS, JANNA NICOLE | 1685 | §101§102§103§112 | Non-Final OA | — | Pending | Jun 21, 2023 |
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Start Free TrialNeumora Therapeutics Inc. has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Benjamin L Hanks has the most, with 1 of Neumora Therapeutics Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
