Prosecution Insights
Last updated: April 19, 2026
Application No. 17/671,082

INDIVIDUAL TREATMENT ASSIGNMENT FROM MIXTURE OF INTERVENTIONS

Non-Final OA §101
Filed
Feb 14, 2022
Examiner
TANK, ANDREW L
Art Unit
2141
Tech Center
2100 — Computer Architecture & Software
Assignee
Adobe Inc.
OA Round
1 (Non-Final)
68%
Grant Probability
Favorable
1-2
OA Rounds
4y 0m
To Grant
99%
With Interview

Examiner Intelligence

Grants 68% — above average
68%
Career Allow Rate
366 granted / 538 resolved
+13.0% vs TC avg
Strong +31% interview lift
Without
With
+31.2%
Interview Lift
resolved cases with interview
Typical timeline
4y 0m
Avg Prosecution
43 currently pending
Career history
581
Total Applications
across all art units

Statute-Specific Performance

§101
12.0%
-28.0% vs TC avg
§103
37.5%
-2.5% vs TC avg
§102
28.6%
-11.4% vs TC avg
§112
13.5%
-26.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 538 resolved cases

Office Action

§101
DETAILED ACTION Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . The following action is in response t the original filing of 02/14/2022. Claims 1-20 are pending and have been considered below. Claim Objections Regarding claims 1, 9 and 15, claims 1, 9 and 15 are objected to because of the following informalities: the term “invention tuples” (ex. claim 1 lines 6-7 and 12) appears to be a typographical error and should appear as “intervention tuples”. Appropriate correction is required. Regarding claims 10-14, claims 10-14 are objected to because of the following informalities: each of claims 10-14 recite dependence on the “computer storage media of claim 1”. However, the Examiner notes that claim 1 is a computerized method and not a computer storage media claim. As each of claims 10-14 appear to recite limitations previously claimed in each of claims 2-7, the Examiner will interpret claims 10-14 as dependent on the “the computer storage media of claim 9”. Appropriate correction is required. Claim Rejections - 35 USC § 101 35 U.S.C. 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1-20 are rejected under 35 U.S.C. 101 because the claimed invention is directed to abstract ideas without significantly more. Regarding claims 1, 9 and 15: Step 1, MPEP 2106.03: Claim 1. A computerized method [statutory category of invention] Claim 9. One or more computer storage media storing computer-useable instructions that, when used by a computing device, cause the computing device to perform operations [statutory category of invention] Claim 15. A computer system comprising: a processor; and a computer storage medium storing computer-useable instructions that, when used by the processor, causes the computer system to perform operations [statutory category of invention] Step 2A Prong One MPEP 2106.04, 2106.04(a): iteratively determining, by the intervention identification module, a set of intervention tuples for N+1 variables from the causal graph until a final set of invention tuples is generated for all variables in the causal graph by: selecting N+1 variables from the causal graph by incrementing N from a previous iteration; determining a set of intervention tuples for N variables; and lifting the set of intervention tuples for N variables to the set of invention tuples for N+1 variables using the set of intervention tuples for N variables and estimated probability distributions for N+1 variables determined using the set of baseline samples and the set of samples with interventions; [mathematical concepts such as mathematical relationships, mathematical formulas or equations, or mathematical calculations, MPEP 2106.04(a)(2)] Step 2A Prong Two, MPEP 2106.04(d): A computerized method One or more computer storage media storing computer-useable instructions that, when used by a computing device, cause the computing device to perform operation A computer system comprising: a processor; and a computer storage medium storing computer-useable instructions that, when used by the processor, causes the computer system to perform operations [generic computer tools for perform generic computing function, MPEP 2106.05] receiving, by an intervention identification module, a set of baseline samples, a set of samples with interventions, and a causal graph having a plurality of variables; [represent mere data gathering steps, MPEP 2106.05] and assigning, by an intervention assignment module, each sample from at least a portion of the set of samples with interventions to an intervention using the final set of intervention tuples. [represent mere instructions to apply, MPEP 2106.05] Step 2B, MPEP 2106.05: A computerized method One or more computer storage media storing computer-useable instructions that, when used by a computing device, cause the computing device to perform operation A computer system comprising: a processor; and a computer storage medium storing computer-useable instructions that, when used by the processor, causes the computer system to perform operations [generic computer tools for perform generic computing function, MPEP 2106.05(f)] receiving, by an intervention identification module, a set of baseline samples, a set of samples with interventions, and a causal graph having a plurality of variables; [insignificant extra-solution activity of data gathering/selecting a particular type of data, MPEP 2106.05(g)] and assigning, by an intervention assignment module, each sample from at least a portion of the set of samples with interventions to an intervention using the final set of intervention tuples. [represent mere instructions to apply to obtain a solution/outcome, MPEP 2106.05(f)] Conclusion Each of independent claims 1, 9 and 15 are ineligible. Regarding claims 2-8, each of claims 2-8 further recites only limitations which under Step 2A Prong One have been determined to be directed to abstract ideas [mathematical concepts such as mathematical relationships, mathematical formulas or equations, or mathematical calculations, MPEP 2106.04(a)(2)]. Each of dependent claims 2-8 are ineligible. Regarding claims 10-14, each of claims 10-14 further recites only limitations which under Step 2A Prong One have been determined to be directed to abstract ideas [mathematical concepts such as mathematical relationships, mathematical formulas or equations, or mathematical calculations, MPEP 2106.04(a)(2)]. Each of dependent claims 10-14 are ineligible. Regarding claims 16-20, each of claims 16-20 further recites only limitations which under Step 2A Prong One have been determined to be directed to abstract ideas [mathematical concepts such as mathematical relationships, mathematical formulas or equations, or mathematical calculations, MPEP 2106.04(a)(2)]. Each of dependent claims 16-20 are ineligible. Allowable Subject Matter Claims 1, 9 and 15 would be allowable if rewritten or amended to overcome the rejection(s) under 35 U.S.C. 101, set forth in this Office action. Claims 2-8, 10-14 and 16-20 would be allowable if rewritten to overcome the rejection(s) under 101, set forth in this Office action and to include all of the limitations of the base claim and any intervening claims. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Jagota; Arun Kumar et al. US 10614393 B2 ASSOCIATING JOB RESPONSIBILITIES WITH JOB TITLES Garcia; Fernando Martel US 20160292248 A1 METHODS, SYSTEMS, AND ARTICLES OF MANUFACTURE FOR THE MANAGEMENT AND IDENTIFICATION OF CAUSAL KNOWLEDGE Dey; Anind K. et al. US 20180025291 A1 DATA PROCESSING SYSTEM FOR GENERATING DATA STRUCTURES Wei; Wenjuan et al. US 20220004910 A1 INFORMATION PROCESSING METHOD, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM Huang; Bin US 20220093271 A1 BAYESIAN CAUSAL INFERENCE MODELS FOR HEALTHCARE TREATMENT USING REAL WORLD PATIENT DATA Cintas; Celia et al. US 20220198265 A1 PATTERN DISCOVERY, PREDICTION AND CAUSAL EFFECT ESTIMATION IN TREATMENT DISCONTINUATION Shen; Dennis et al. US 20220414483 A1 SYSTEMS AND METHODS FOR SYNTHETIC INTERVENTIONS Porwal; Vibhor et al. US 20230051416 A1 SYSTEMS FOR ESTIMATING TERMINAL EVENT LIKELIHOOD Zhang; Cheng et al. US 20230229906 A1 ESTIMATING THE EFFECT OF AN ACTION USING A MACHINE LEARNING MODEL Bhave; Shreyas et al. US 20240266013 A1 SYSTEM, METHOD, AND COMPUTER-ACCESSIBLE MEDIUM FOR POINT PROCESSES FOR COMPETING OBSERVATIONS WITH RECURRENT NETWORKS Rukhlenko; Oleksii et al. US 20240274226 A1 MOLECULAR EVALUATION METHODS Raghu, Vineet K., et al. "Comparison of strategies for scalable causal discovery of latent variable models from mixed data." International journal of data science and analytics 6.1 (2018): 33-45. Jaber, Amin, et al. "Causal discovery from soft interventions with unknown targets: Characterization and learning." Advances in neural information processing systems 33 (2020): 9551-9561. Mooij, Joris M., Sara Magliacane, and Tom Claassen. "Joint causal inference from multiple contexts." Journal of machine learning research 21.99 (2020): 1-108. Squires, Chandler, Yuhao Wang, and Caroline Uhler. "Permutation-based causal structure learning with unknown intervention targets." Conference on Uncertainty in Artificial Intelligence. PMLR, 2020. Kumar, Abhinav, and Gaurav Sinha. "Disentangling mixtures of unknown causal interventions." Uncertainty in Artificial Intelligence. PMLR, 2021. Sussex, Scott, Caroline Uhler, and Andreas Krause. "Near-optimal multi-perturbation experimental design for causal structure learning." Advances in Neural Information Processing Systems 34 (2021): 777-788. Zhang, Jiaqi, Chandler Squires, and Caroline Uhler. "Matching a desired causal state via shift interventions." Advances in Neural Information Processing Systems 34 (2021): 19923-19934. Any inquiry concerning this communication or earlier communications from the examiner should be directed to ANDREW L TANK whose telephone number is (571)270-1692. The examiner can normally be reached Monday-Thursday 9a-6p. 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, Matthew Ell can be reached at 571-270-3264. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /ANDREW L TANK/Primary Examiner, Art Unit 2141
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Prosecution Timeline

Feb 14, 2022
Application Filed
Dec 22, 2025
Non-Final Rejection — §101
Apr 01, 2026
Applicant Interview (Telephonic)
Apr 01, 2026
Examiner Interview Summary
Apr 06, 2026
Response Filed

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

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Prosecution Projections

1-2
Expected OA Rounds
68%
Grant Probability
99%
With Interview (+31.2%)
4y 0m
Median Time to Grant
Low
PTA Risk
Based on 538 resolved cases by this examiner. Grant probability derived from career allow rate.

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