Prosecution Insights
Last updated: October 02, 2026

Examiner: HAYES, JONATHAN EDWARD

Tech Center 2100 • Art Units: 1629 1671 1685 2188

This examiner grants 36% of resolved cases

Analysis

Jonathan Edward Hayes examines cases in Tech Center 2100 and Art Unit 1629, with 77 resolved cases. His allowance rate of 36.4% indicates a challenging environment where about one-third of applications result in a grant. This figure sets the baseline for applicant expectations. The 36.4% allowance rate reflects the rigorous nature of examination in this docket relative to the 77 resolved cases.

The interview lift of 20.7% suggests that direct communication is a helpful tool for improving outcomes. An interview can boost the 36.4% base allowance rate, indicating the examiner's receptiveness to verbal arguments in the 77 resolved cases. This strategy may be particularly useful for navigating complex issues. The 20.7% lift is a valuable metric for practitioners seeking to advance prosecution.

The median days to allowance is 1748, reflecting a very long timeline for successful cases. This duration, combined with the 36.4% allowance rate, underscores the difficulty of prosecution. The 20.7% interview lift provides a potential path toward a more favorable outcome. Applicants should be prepared for a 1748-day process. These metrics allow for more accurate planning and strategy development in this unit.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Performance Statistics

36.4%
Allow Rate
-18.6% vs TC avg
105
Total Applications
+20.7%
Interview Lift
1748
Avg Prosecution Days
Based on 77 resolved cases, 2023–2026

Rejection Statute Breakdown

39.5%
§101 Eligibility
5.9%
§102 Novelty
26.6%
§103 Obviousness
23.7%
§112 Clarity

Currently Pending Office Actions

App #TitleStatusAssignee
18028798 METHODS AND SYSTEMS FOR STORING GENOMIC DATA IN A FILE STRUCTURE COMPRISING PROTECTION METADATA Non-Final OA KONINKLIJKE PHILIPS N.V.
17616740 DETERMINING CAUSES OF DISEASES SUCH AS CANCER, USING MACHINE LEARNING ANALYSIS OF GENETIC DATA Final Rejection The Johns Hopkins University
17880635 VIRTUALLY TESTING FORCE PLACED ON A TOOTH Final Rejection Align Technology, Inc.
18197641 MIXTURE DECONVOLUTION METHOD FOR IDENTIFYING DNA PROFILES Non-Final OA Massachusetts Institute of Technology
18179621 TRAINED MACHINE-LEARNING MODEL FOR FORECASTING MOLECULAR CONFORMATIONS Non-Final OA Microsoft Technology Licensing, LLC
18811696 METHODS AND SYSTEMS FOR GENERATING AND USING SIMULATED SENSOR MEASUREMENTS Non-Final OA MEDTRONIC MINIMED, INC.
18126887 METHOD FOR MOLECULAR REPRESENTING Non-Final OA BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.
18552362 System and Method for Prediction of Molecular Dynamics and Chemical Properties Using Equivariant Neural Operators Non-Final OA CARNEGIE MELLON UNIVERSITY
18098492 Graphical User Interface for Group-Wise Flow Cytometry Data Analysis and Methods for Using Same Non-Final OA Becton, Dickinson and Company
18025689 TRAINING PROTEIN STRUCTURE PREDICTION NEURAL NETWORKS USING REDUCED MULTIPLE SEQUENCE ALIGNMENTS Non-Final OA DeepMind Technologies Limited
17144021 BITERMINAL DNA FRAGMENT TYPES IN CELL-FREE SAMPLES AND USES THEREOF Final Rejection GRAIL, Inc.
16936901 SYSTEMS AND METHODS FOR DETERMINING TUMOR FRACTION Final Rejection GRAIL, Inc.

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