Prosecution Insights
Last updated: October 04, 2026
Application No. 18/958,126

METHODS FOR MAXIMUM JOINT PROBABILITY ASSIGNMENT TO SEQUENTIAL BINARY RANDOM VARIABLES IN QUADRATIC TIME COMPLEXITY

Final Rejection §101§112
Filed
Nov 25, 2024
Priority
May 31, 2022 — provisional 63/347,291 +1 more
Examiner
BLANCHETTE, JOSHUA B
Art Unit
3684
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
January Inc.
OA Round
2 (Final)
48%
Grant Probability
Moderate
3-4
OA Rounds
1y 10m
Est. Remaining
80%
With Interview

Examiner Intelligence

Grants 48% of resolved cases
48%
Career Allowance Rate
111 granted / 232 resolved
-4.2% vs TC avg
Strong +32% interview lift
Without
With
+31.8%
Interview Lift
resolved cases with interview
Typical timeline
3y 8m
Avg Prosecution
37 currently pending
Career history
269
Total Applications
across all art units

Statute-Specific Performance

§101
35.2%
-4.8% vs TC avg
§103
40.2%
+0.2% vs TC avg
§102
9.9%
-30.1% vs TC avg
§112
10.9%
-29.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 232 resolved cases

Office Action

§101 §112
DETAILED ACTION This communication is a final rejection in response to claim amendments and arguments filed 07/22/2026. Before this action, the claims stood rejected under 35 U.S.C. 101 and 103. Response to arguments Applicant's arguments filed 07/22/2026 have been fully considered and are persuasive. The rejections under 35 U.S.C. 101 and 103 have been withdrawn. Claim Objections Claims 1, 7-9, 12-16, and 21-30 are objected to because of the following informalities. Claims 1 and 12 recite “the continuous blood glucose and meal event monitor” when the claims only support “a continuous blood glucose monitor.” The Examiner interprets the limitation as “the continuous blood glucose monitor”. Other claims depending from claims 1 and 12 share this defect. Appropriate correction is required. Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claims 12-16 and 26-30 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor, or for pre-AIA the applicant regards as the invention. Specifically, claim 12 recites a computing device configured to perform “initial variable or the assigned variable that has the higher probability as the initial variable.” This limitation lacks a verb, so the operation that the computer performs cannot be determined. Claims 28-30 recite “the probability predication statistical model” but this term lacks antecedent basis. The other rejected claims depend from one of these claims. Subject Matter Free from Prior Art Claims 1, 7-9, 12-16, and 21-30 are allowable over the prior art. The Examiner’s reasons are described below. The closest prior art is Dalal (US20200245913A1), Budiman (US20170185748A1), Zheng (Zheng M, Ni B, Kleinberg S. Automated meal detection from continuous glucose monitor data through simulation and explanation. J Am Med Inform Assoc. 2019 Dec 1;26(12):1592-1599.), Fox (Fox I, Ang L, Jaiswal M, Pop-Busui R, Wiens J. Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories. KDD. 2018 Aug;2018:1387-1395.), and Crawford (US20220202319A1). Dalal discloses an ML platform that stores CGM data with a user’s food log data, trains a neural network on the data to predict food consumption (e.g., [0023] and [0120]). Budiman discloses estimating “meal start and peak events based on analysis of information associated with monitored analyte concentration level” in [0023] and “the meal start event and peak meal response event estimation in accordance with the present disclosure provides meal times that can be used to confirm tagged meals and to identify missing tags when analyzing the data to determine a glycemic model from the data” in [0084]. Zheng teaches detecting meals by simulating the glucose effects a candidate meal would produce and accepting the candidate whose simulation is closest to the observed glucose (Meal detection on page 1595). Fox discloses recurrent networks where the outputs encode a probability distribution using conditional factorization forming a joint probability (Problem Setup and Background on page 3). Crawford teaches a glucose monitor with a display logging meal and activity events with a glucose graph (Abstract). No reference teaches or suggests evaluating the initial variable and the assigned variable with a probability function to determine which has the higher probability, using that variable as the initial variable, and iterating this process until a highest probability variable is determined in the context of the other limitations of claims 1 and 12. Subject Matter Eligibility Claims 1, 7-9, 12-16, and 21-30 recite patent eligible subject matter. The Examiner’s reasons are described below. The claimed invention recites an abstract idea in Step 2A Prong One because it recites various mathematical concepts and mental processes such as evaluating meal events and time periods with probability functions and selecting meal assignments with the higher probabilities. However in Step 2A Prong Two, the claimed invention as a whole integrates the idea into a practical application by the specific procedure used to determine meal event values from the time series data from the CGM. This process entails initializing an initial variable with the known meal events, generating an assigned variable that changes one further event value from false to true, evaluating both with a probability function, carrying the higher probability variable forward as the initial variable, and repeating this until a highest probability variable has been determined. This goes beyond a generic computer implementation of the abstract ideas and represents an improvement in CGM and meal event monitoring by making the determination computationally feasible, in at most T^2 assignment evaluations rather than the conventional 2^T that an exhaustive search over the meal event values would require. See Specification [0004] and [0057]. Taken together, the claimed invention uses a particular, non-abstract kind of data gathering in combination with an innovative assignment procedure to identify unlogged meal events in a way that cannot be performed practicably in the human mind that appears to improve upon the technological field of continuous glucose monitoring. Conclusion Applicant’s amendment necessitated the new ground(s) of rejection presented in this Office Action (See MPEP 706.07(a)). Accordingly, THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to JOSHUA BLANCHETTE whose telephone number is (571)272-2299. The examiner can normally be reached on Monday - Thursday 7:30AM - 6:00PM, EST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Shahid Merchant, can be reached on (571) 270-1360. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /JOSHUA B BLANCHETTE/ Primary Examiner, Art Unit 3624
Read full office action

Prosecution Timeline

Nov 25, 2024
Application Filed
Jan 23, 2026
Non-Final Rejection mailed — §101, §112
Jul 16, 2026
Examiner Interview Summary
Jul 16, 2026
Applicant Interview (Telephonic)
Jul 22, 2026
Response Filed
Sep 15, 2026
Final Rejection mailed — §101, §112 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
48%
Grant Probability
80%
With Interview (+31.8%)
3y 8m (~1y 10m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 232 resolved cases by this examiner. Grant probability derived from career allowance rate.

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