Prosecution Insights
Last updated: September 17, 2026
Application No. 18/503,353

SYSTEM AND METHODS FOR GENOMICS-EHR INTEGRATION

Final Rejection §101§103
Filed
Nov 07, 2023
Priority
Jan 12, 2020 — provisional 62/960,028 +2 more
Examiner
PATEL, SHERYL GOPAL
Art Unit
3685
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Leap Of Faith Technologies Inc.
OA Round
4 (Final)
11%
Grant Probability
At Risk
5-6
OA Rounds
0m
Est. Remaining
25%
With Interview

Examiner Intelligence

Grants only 11% of cases
11%
Career Allowance Rate
3 granted / 28 resolved
-41.3% vs TC avg
Moderate +14% lift
Without
With
+14.4%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
32 currently pending
Career history
73
Total Applications
across all art units

Statute-Specific Performance

§101
39.1%
-0.9% vs TC avg
§103
37.8%
-2.2% vs TC avg
§102
12.3%
-27.7% vs TC avg
§112
9.3%
-30.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 28 resolved cases

Office Action

§101 §103
DETAILED ACTION The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . 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 therefore, subject to the conditions and requirements of this title. Claims 1-18 are rejected under 25 U.S.C. 101 because the claimed invention is directed to an abstract idea without significantly more. Step 1 Claims 1-18 are within the four statutory categories. However, as will be shown below, claims 1-18 are nonetheless unpatentable under 35 U.S.C. 101. Claim 1 is representative of the inventive concept and recites: A system for collecting, displaying, and modeling a patient medical record, comprising: a processor; a main memory in communication with the processor via a communication infrastructure, said memory including stored instructions that, when executed by said processor, cause said processor to: access an electronic health record including clinical data corresponding to a patient, the clinical data normalized to a Fast Healthcare Interoperability Resources (FHIR) format; analyze the clinical data to create a problem list including one or more medical diagnoses associated with the patient; retrieve, via one or more FHIR genomic operations, genomic data corresponding to the patient, wherein said genomic data is stored in a genomic server, said genomic server configured to interface with the electronic health record, wherein executing the one or more FHIR genomic operations comprises performing server-side normalization of variant data and genomic liftover across heterogeneous reference assemblies to convert the variant data into a common representation across multiple genomic reference assemblies; generate a digital twin comprising a virtual representation of the patient medical record based on the problem list, the clinical data, and the genomic data; output said digital twin to a user, wherein said digital twin includes interactive components corresponding to at least one of a genome, clinical condition, treatment, and clinical trial, said interactive components including graphical components associated with at least one of said clinical data and said genomic data; receive, from the user, a user query via the interactive components by selection of at least one of the graphical components; query, using one or more FHIR phenotype operations, the genomic data and the clinical data based on the user query, wherein the one or more FHIR phenotype operations process the genomic data in combination with the clinical data to generate the at least one diagnostic implication or therapeutic implication using a knowledge base; and provide, in response to the query, at least one of the diagnostic implication and therapeutic implication for the patient. *Claim 10 recites similar limitations as claim 1, but for a method Step 2A Prong One The broadest reasonable interpretation of these steps includes mental processes because the highlighted components can practically be performed by the human mind (in this case, the process of analyzing and generating) or using pen and paper. Other than reciting generic computer components/functions such as “processor” and “main memory in communication with the processor”, and “stored instructions”, nothing in the claims precludes the highlighted portions from practically being performed in the mind. If a claim limitation, under its broadest reasonable interpretation, cover performance of the limitation in the mind but for the recitation of generic computer components/functions, then it falls within “Mental Processes” grouping of abstract ideas. Additionally, the mere nominal recitation of a generic computer does not take the claim limitation out of the mental process grouping. Thus, the claim recites a mental process. The recitation of generic computer components/functions of providing, generating, and retrieving also covers behavioral or interactions between people (i.e. a computer and user interface), and/or managing personal behavior or relationships or interactions between people (i.e. social activities, teaching, and following rules or instructions – in this case a person is able to physically follow the steps to collect and analyze data), hence the claim falls under “Certain Methods of Organizing Human Activity”. Dependent claims 2-9 and 11-18 recite additional subject matter which further narrows or defines the abstract idea embodied in the claims (such as claim 2, reciting what types of data that clinical data entails, but for recitation of generic computer components/functions). Step 2A Prong Two: This judicial exception is not integrated into a practical application. In particular, the claims recite the following additional limitations: Claim 1 recites: “processor”, “main memory in communication with the processor”, and “stored instructions”, “digital twin”, “output said digital twin to a user, wherein said digital twin includes interactive components corresponding to at least one of a genome, clinical condition, treatment, and clinical trial”, “receive, from the user, a user query via the interactive components”, and “query, using one or more FHIR phenotype operations, the genomic data and the clinical data based on the user query”, and “wherein said genomic data is stored in a genomic server, said genomic server configured to interface with the electronic health record, wherein executing the one or more FHIR genomic operations comprises performing server-side normalization of variant data and genomic liftover across heterogeneous reference assemblies”, and “query, using one or more FHIR phenotype operations, the genomic data and the clinical data based on the user query, wherein the one or more FHIR phenotype operations process the genomic data in combination with the clinical data to generate the at least one diagnostic implication or therapeutic implication using a knowledge base”. In particular, the additional elements do not integrate the abstract idea into a practical application, other than the abstract idea per se, because the additional elements amount to no more limitations which: Amount to mere instructions to apply an exception (MPEP 2106.05(f)). The limitations of are recited as being performed by a “processor”, “main memory in communication with the processor”, “stored instructions”, and “wherein said genomic data is stored in a genomic server, said genomic server configured to interface with the electronic health record”. A computer is recited at a high level of generality and amounts to no more than mere instructions to apply the exception using a generic computer. Add insignificant extra-solution activity (MPEP 2106.05(g)) to the abstract idea such as the recitation of “digital twin”, “output said digital twin to a user, wherein said digital twin includes interactive components corresponding to at least one of a genome, clinical condition, treatment, and clinical trial”, “receive, from the user, a user query via the interactive components”, and “query, using one or more FHIR phenotype operations, the genomic data and the clinical data based on the user query”, and “wherein said genomic data is stored in a genomic server, said genomic server configured to interface with the electronic health record, wherein executing the one or more FHIR genomic operations comprises performing server-side normalization of variant data and genomic liftover across heterogeneous reference assemblies”, and “query, using one or more FHIR phenotype operations, the genomic data and the clinical data based on the user query, wherein the one or more FHIR phenotype operations process the genomic data in combination with the clinical data to generate the at least one diagnostic implication or therapeutic implication using a knowledge base”. Dependent claim 8 recites “output” Dependent claim 17 recites “output” In particular, the additional elements do no integrate the abstract idea into a practical application, other than the abstract idea per se, because the additional elements amount to no more limitations which: Add insignificant extra-solution activity (MPEP 2106.05(g)) to the abstract idea such as the recitation of “output”. Dependent claims 2-7, 9, 11-16, and 18 do not include any additional elements beyond those already recited in independent claims 1 and 10 and dependent claims 8 and 17, hence do not integrate the aforementioned abstract idea into a practical application. Looking at the limitations as an ordered combination adds nothing that is not already present when looking at the elements taken individually. There is no indication that the combination of elements improves the functioning of a computer or any other technology. Their collective function merely provides conventional computer implementation and do not impose a meaningful limit to integrate the abstract idea into a practical application. Step 2B Claims 1 and 10 do not include additional elements that are sufficient to amount to significantly more than the judicial exception. As discussed above with respect to discussion of integration of the abstract idea into a practical application, the additional elements: A system in claim 1; amount to no more than mere instructions to apply an exception to the abstract idea. Additionally, the additional limitations, other than the abstract idea per se, amount to no more than limitations which amount to elements that have been recognized as well-understood, routine, and conventional activity in particular fields as demonstrated by the recitation of: Digital twin (claims 1 and 10), which is a virtual representation of a physical asset, process, and system that is linked to its real-world counterpart in a manner that would be well-understood, routine, and conventional. Para 0039, Milev(US20190260831A1) discloses: “The cloud platform 220 may also host conventional digital twins.” Para 0017, Bohm(US20200274768A1) discloses: “It is conventional in such a procedure to already develop a digital twin for these systems in the design phase since typically all systems are actually not yet physically present in this design phase.” Para 0039, Falk(US 20210081938 A1) discloses: “In particular, by contrast, further data, in particular with a high data volume and high change frequency, can be stored in a conventional digital twin (e.g., the primary digital twin).” Outputting (claims 1, 8, 10, and 17), which refers to the process of transmitting or sending data from a computer or other system to another destination, such as a display, a storage device, or another computer system ( TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 614, 118 USPQ2d 1744, 1748 (Fed. Cir. 2016) ) in a manner that would be well-understood, routine, and conventional. Generate a digital twin (digital twinning), which refers to the creation of virtual, real-time replicas of physical objects, processes, or systems (Para 0102, Mukherjee discloses: “Consumption graphs 603 and 601 show that the datacenter consumes more power using conventional digital twinning methods compared to using edge-node digital twinning methods.”) in a manner that would be well-understood, routine, and conventional. Receiving (claims 1 and 10), which refers to taking take in, download, or accept information from another source(TLI Communications LLC v. AV Auto. LLC, 823 F.3d 607, 610, 118 USPQ2d 1744, 1745 (Fed. Cir. 2016)) in a manner that would be well-understood, routine, and conventional. Querying (claims 1 and 10), which refers to a request for data in a database (Para 0081, Liang(US 20190180186 A1) discloses: “In one implementation, the genomes in candidate genome pool database 902 are stored and managed by conventional database management systems (DBMS), and are accessed using SQL statements. Thus, a conventional SQL query can be used to obtain, for example, the fitness function 904 of the genomes.”) in a manner that would be well-understood, routine, and conventional. Storing (claims 1 and 10), which refers to the technology-driven process of capturing, retaining, and managing digital information on physical or virtual media (Versata Dev. Group, Inc. v. SAP Am., Inc., 793 F.3d 1306, 1334, 115 USPQ2d 1681, 1701 (Fed. Cir. 2015))in a manner that would be well-understood, routine, and conventional. Dependent claims 2-9 and 11-18 do not include any additional elements beyond those already recited in independent claims 1 and 10. Therefore, they are not deemed to be significantly more than the abstract idea because, as stated above, the limitations of the aforementioned dependent claims amount to no more than generally linking the abstract idea to a particular technological environment or field of use, and/or do not recite and additional elements not already recited in independent claims 1 and 10, hence do not amount to “significantly more” than the abstract idea. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. The factual inquiries for establishing a background for determining obviousness under 35 U.S.C. 103 are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. Claims 1-5, 8-9, 10-14, and 17-18 are rejected under 35 U.S.C. 103 is being unpatentable over Ury(US10586612B2) in view of Emanuel(US20170103163A1), Zimmerman(US20190005200A1), and Glynias(US20150073719A1). Claim 1 Ury discloses: A system for collecting, displaying, and modeling a patient medical record, comprising: a processor; a main memory in communication with the processor via a communication infrastructure, said memory including stored instructions that, when executed by said processor, cause said processor to: access an electronic health record(Col. 18, Line 56, Ury discloses: “electronic-health-record (“EHR”)”) including clinical data corresponding to a patient(Col. 24, Line 26, Ury discloses: “medical information relevant to the particular patient”[MEDICAL INFORMATION CAN BE CLINICAL DATA CORRESPONDING TO A PATIENT]), the clinical data normalized to a ; analyze the clinical data to create a problem list(Col. 20, Line 61, Ury discloses: “symptoms” [SYMPTOMS CAN BE A PROBLEM LIST]) including one or more medical diagnoses(Col. 20, Line 61, Ury discloses: “diagnoses”) associated with the patient(Col. 24, Line 39, Ury discloses: “directed to identifying all possible clinical actions that might be relevant to a particular patient, in which case patient data is used to select all possible candidate subtrees and to then evaluate the relevance…”[EVALUATING PATIENT DATA FOR POTENTIAL CLINICAL ACTIONS CAN BE SIMILAR TO ANALYZING PATIENT DATA FOR POTENTIAL PROBLEMS TO BE ADDRESSED]); retrieve, via one or more (Col. 23, Line 52, Ury discloses a query producing information about genetic variants, which can be a genomic operation), genomic data corresponding to the patient(Col. 17, Line 42, Ury discloses: “genetic data for individual patients…”), wherein said genomic data is stored in a genomic server(Col.2, Line 29, Ury discloses: “Individual patient data and clinical-knowledge databases, including the network-like clinical-knowledge data structures, are hosted in cloud-computing-like data centers…”[DATA CENTERS CAN ACT AS A STORAGE SERVE FOR GENOMIC DATA]), said genomic server configured to interface with the electronic health record, wherein executing the one or more (Col 19, Line 22, Ury discloses the normalization of data) of variant data and genomic liftover across heterogeneous reference assemblies to (Figure 19, Ury discloses a user query process), using one or more (Col. 23, Line 52, Ury discloses a query producing information about expressed proteins, which can be a phenotype operation), the genomic data and the clinical data based on the user query(Col. 23, Line 52, Ury discloses a query producing information about genomic variants and clinical data), wherein the one or more FHIR phenotype operations process the genomic data(Col. 19, line 37, Ury discloses genetic variant data) in combination with the clinical data(Col. 19, Line 39, Ury discloses clinical knowledge from HER databases) to generate the at least one diagnostic implication(Col. 23, Line 37, Ury discloses information supporting or arguing a diagnosis) or therapeutic implication(Col 23, Line 37, Ury discloses medication risks) using a knowledge base; and provide, in response to the query at least one of a diagnostic implication(Col. 26, Line 27, Ury discloses diagnosis-related clinical-action node) and therapeutic implication for the patient. Ury does not explicitly disclose: FHIR digital twin output digital twin clinical condition treatment convert the variant data into a common representation across multiple genomic reference assemblies generate a digital twin comprising a virtual representation of the patient medical record interactive components including graphical components associated with at least one of said clinical data and said genomic data a user query via the interactive components by selection of at least one of the graphical components Emanuel discloses: FHIR(Para 0045, Emanuel discloses FHIR) Before the effective filing date of the claimed invention, it would have been obvious to one of ordinary skill in the art to have modified the cloud-like medical-information service of Ury to add FHIR, as taught by Emanuel. One of ordinary skill would have been so motivated to provide a means to apply a specific format for data to be presented, but in this case for a method/system for a cloud-enabled health record exchange engine(Para 0002, Emanuel discloses: “To reduce the cost of interoperability, software components and methodologies must be produced that reduce the high cost of healthcare interoperability for systems that are sharing healthcare information using a diversity of “information formats” standards outlined by the Meaningful Use regulation.”) Emanuel does not explicitly disclose: digital twin output digital twin clinical condition treatment convert the variant data into a common representation across multiple genomic reference assemblies generate a digital twin comprising a virtual representation of the patient medical record interactive components including graphical components associated with at least one of said clinical data and said genomic data a user query via the interactive components by selection of at least one of the graphical components Zimmerman discloses: digital twin, clinical condition, treatment digital twin(Para 0031, Zimmerman discloses: “digital twin”) output said digital twin(Para 0058, Zimmerman discloses: “Execution of the algorithms via the intelligent care ecosystem 1030 using the digital twin 130 creates output(s) that can be synthesized to be provided to the digital twin 130 and/or other system, for example. In certain examples, an action plan (e.g., a patient care plan, etc.) can be created from the synthesized output.”) clinical condition, treatment(Para 0038, Zimmerman discloses: “healthcare practitioner can view and simulate[INTERACT] with the digital twin 130 to evaluate a condition[CLINICAL CONDITION], progression, possible treatment[TREATMENT], etc., for the patient.”) Before the effective filing date of the claimed invention, it would have been obvious to one of ordinary skill in the art to have modified the cloud-like medical-information service of Ury to add digital twin, output digital twin, clinical condition, and treatment, as taught by Zimmerman. One of ordinary skill would have been so motivated to provide a means to create a digital twin of a patient based on genomic data and medical records and output potential clinical conditions and potential treatment post-analysis of the data, but in this case for a method/system for generating a patient (Para 0003, Zimmerman discloses: “Healthcare provider consolidations create geographically distributed hospital networks in which physical contact with systems is too costly. At the same time, referring physicians want more direct access to supporting data in reports and other data forms along with better channels for collaboration. Physicians have more patients, less time, and are inundated with huge amounts of data, and they are eager for assistance.”) Zimmerman does not explicitly disclose: convert the variant data into a common representation across multiple genomic reference assemblies interactive components including graphical components associated with at least one of said clinical data and said genomic data a user query via the interactive components by selection of at least one of the graphical components Glynias discloses: convert the variant data into a common representation across multiple genomic reference assemblies(Para 0185, Glynias discloses the conversion of variant data into a common representation) interactive components including graphical components associated with at least one of said clinical data and said genomic data(FIGS 15A-15L, Glynias discloses graphical user interfaces with interactive components related to clinical and genomic data) user query via the interactive components by selection of at least one of the graphical components(Para 0249, Glynias discloses a graphical user interface which allows a user to make a selection Before the effective filing date of the claimed invention, it would have been obvious to one of ordinary skill in the art to have modified the cloud-like medical-information service of Ury to add convert the variant data into a common representation across multiple genomic reference assemblies, interactive components including graphical components associated with at least one of said clinical data and said genomic data, and a user query via the interactive components by selection of at least one of the graphical components, as taught by Glynias. One of ordinary skill would have been so motivated to provide a means to interact with a digital twin to query and attain data, to better understand potential patient outcomes, but in this case for a method/system for analyzing genomes based on specific data structures (Para 0009, Glynias discloses: “Moreover, the number of data sets thus generated scales linearly with the number of subject genomes analyzed, thus requiring at least a linear increase in the computational effort to perform such analysis and in the amount of storage space required to store the data sets. Thus, what is needed is a computationally efficient method of storing and analyzing genomic data.”) Claim 2 Ury discloses: The system of claim 1, wherein said processor is further operative to retrieve phenotype information(Col. 20, Line 62, Ury discloses: “phenotype”) corresponding to said clinical data corresponding to the patient(Col. 24, Line 26, Ury discloses: “medical information relevant to the particular patient”[MEDICAL INFORMATION CAN BE CLINICAL DATA CORRESPONDING TO A PATIENT]). Claim 3 Ury discloses: The system of claim 1, wherein said one or more FHIR genomic operations facilitate determining simple or structural variants(Figure 20, Ury discloses genomic variants present in genomic data) are present in said genomic data(Col. 17, Line 42, Ury discloses: “genetic data for individual patients…”). Claim 4 Ury discloses: The system of claim 1, wherein said one or more FHIR genomic operations facilitate retrieving haplotypes(Col. 17, Line 52, Ury discloses: “”single nucleotide polymporphism” or “SNP” [SNPs ARE HAPLOTYPES]) or genotypes(Col. 18, Line 13, Ury discloses: “chromosome” [CHROMOSOME CAN INDICATE GENOTYPE]) for one or more specified genes. Claim 5 Ury discloses: The system of claim 1, wherein said one or more FHIR genomic operations facilitate retrieving diagnostic implications for one or more variants(Col. 19, Line 48, Ury discloses: “EHR application may request the cloud-like medical-information service to compare the patient's gene variants with the clinical knowledge maintained by the cloud-like medical-information service in order to find any genomic indications that would support or argue against the diagnosis or planned therapy.”). Claim 8 Ury discloses: The system of claim 1, wherein each interactive components is output as one or more data clusters, each data cluster linked to said health record(Figure 21, Ury discloses data clusters that can be linked to a health record) and formed by a plurality of nodes(Figure 16A, #1610, #1612, Ury discloses a plurality of nodes). Claim 9 Ury discloses: The system of claim 1, wherein said plurality of nodes extends from a central node(Col. 25, Line 14, Ury discloses: “root node” [ROOT NODE CAN BE A CENTRAL NODE]), said central node associated with an identified region of interest and at least one of said clinical data and genomic data(Figure 16A, #1622, #1612, Ury discloses a clinical and genomic data nodes). Claim 10 Claim 10 recites similar limitations as claim 1. See claim 1 analysis. Claim 11 Claim 11 recites similar limitations as claim 2. See claim 2 analysis. Claim 12 Claim 12 recites similar limitations as claim 3. See claim 3 analysis. Claim 13 Claim 13 recites similar limitations as claim 4. See claim 4 analysis. Claim 14 Claim 14 recites similar limitations as claim 5. See claim 5 analysis. Claim 17 Claim 17 recites similar limitations as claim 8. See claim 8 analysis. Claim 18 Claim 18 recites similar limitations as claim 9. See claim 9 analysis. Claims 6-7 and 16-17 are rejected under 35 U.S.C. 103 is being unpatentable over Ury(US10586612B2) in view of Emanuel(US20170103163A1), Zimmerman(US20190005200A1), Glynias(US20150073719A1), and Srinivasa(US20230315738A1). Claim 6 Ury, Emanuel, Zimmerman, and Glynias do not explicitly disclose: The system of claim 1, wherein said one or more FHIR genomic operations facilitate retrieving a list of patients corresponding to at least one of specified variants, structural intersecting variants, structural subsuming variants, and specified genotypes or haplotypes. Srinivasa discloses: The system of claim 1, wherein said one or more genomic operations facilitate retrieving a list of patients corresponding to at least one of specified variants, structural intersecting variants, structural subsuming variants, and specified genotypes or haplotypes(Para 0163, Srinivasa discloses: “The initial list of patients may be used to extract a first narrowed list of patients and associated KRAS mutation information[MUTATION CAN BE CONSIDERED A VARIANT] from the omics data store 1706.[OMICS DATA CAN INCLUDE VARIANT, GENOTYPE, AND HAPLOTYPE DATA]”). Before the effective filing date of the claimed invention, it would have been obvious to one of ordinary skill in the art to have modified that cloud-like medical-information service of Ury to add a list of patients corresponding to at least one of specified variants, structural intersecting variants, structural subsuming variants, and specified genotypes or haplotypes, as taught by Srinivasa. One of ordinary skill would have been so motivated to provide a means to access individuals which certain genetic traits for potential identification of clinical trial or research study candidates, but in this case for a method/system for integrating data for precision medicine(Para 0010, Srinivasa discloses: “Thus, realization of the potential promise of precision medicine relies on accessing and analyzing large, multi-dimensional datasets. The isolation of biomedical data in separate silos makes this challenging.” Claim 7 Ury discloses: The system of claim 1, wherein said one or more FHIR operations facilitate retrieving metadata(Para 0055, Srinivasa discloses: “metadata”) associated with one or more sequencing studies performed on a subject(Col. 17, Line 43, Ury discloses: “Genetic data for individual patients can then be stored as a list of variations, or variants, with respect to the reference sequence. “). Ury, Emanuel, Zimmerman, and Glynias do not explicitly disclose: metadata Srinivasa discloses: metadata metadata(Para 0055, Srinivasa discloses: “metadata”) Before the effective filing date of the claimed invention, it would have been obvious to one of ordinary skill in the art to have modified the cloud-like medical-information service of Ury to add metadata, as taught by Srinivasa. One of ordinary skill would have been so motivated to provide a means to analyze and process data with its lineage being traceable, but in this case for a method/system for integrating data for precision medicine(Para 0010, Srinivasa discloses: “Thus, realization of the potential promise of precision medicine relies on accessing and analyzing large, multi-dimensional datasets. The isolation of biomedical data in separate silos makes this challenging.” Claim 15 Claim 15 recites similar limitations as claim 6. See claim 6 analysis. Claim 16 Claim 16 recites similar limitations as claim 7. See claim 7 analysis. Response to Arguments 35 U.S.C. 101 (Pages 7-9) Regarding the assertion that the amended claims do not recite an abstract idea. Applicant's arguments filed have been fully considered but they are not persuasive. The amendments include abstract ideas in the form of certain methods of organizing human activity. Please refer to the 101 analysis above. (Pages 9-11) Regarding the assertion that the amended claims recite significantly more than any abstract idea. Applicant's arguments filed have been fully considered but they are not persuasive. Claims 1 and 10 do not include additional elements that are sufficient to amount to significantly more than the judicial exception. As discussed above with respect to discussion of integration of the abstract idea into a practical application, the additional elements: A system in claim 1; amount to no more than mere instructions to apply an exception to the abstract idea. Additionally, the additional limitations, other than the abstract idea per se, amount to no more than limitations which amount to elements that have been recognized as well-understood, routine, and conventional activity. Please refer to the 101 analysis above. 35 U.S.C. 103 Applicant’s arguments with respect to claim(s) have been considered but are moot because the new ground of rejection does not rely on any reference applied in the prior rejection of record for any teaching or matter specifically challenged in the argument. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Mansi(US20210151187A1): Mansi discloses data-driven estimation of predictive digital twin models from medical data. Some disclosures of this invention are similar to that of this instant pending application. (Specifications, para 0069 and 0079) Davies(US7529685B2): Davies discloses system for storing, retrieving, and integrating clinical, diagnostic, genomic, and therapeutic data. Some disclosures of this invention are similar to that of this instant pending application. (Specifications, para 0048 to 0065) Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). 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 nonprovisional extension fee (37 CFR 1.17(a)) 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 SHERYL GOPAL PATEL whose telephone number is (703)756-1990. The examiner can normally be reached Monday - Friday 5:30am to 2:30pm PST. 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, Kambiz Abdi can be reached at 571-272-6702. 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. /S.G.P./Examiner, Art Unit 3685 /KAMBIZ ABDI/Supervisory Patent Examiner, Art Unit 3685
Read full office action

Prosecution Timeline

Show 2 earlier events
Aug 29, 2025
Response Filed
Oct 17, 2025
Final Rejection mailed — §101, §103
Dec 10, 2025
Response after Non-Final Action
Jan 20, 2026
Request for Continued Examination
Feb 17, 2026
Response after Non-Final Action
Apr 06, 2026
Non-Final Rejection mailed — §101, §103
Jun 15, 2026
Response Filed
Sep 09, 2026
Final Rejection mailed — §101, §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12725688
Using Machine Learning to Predict Cell Therapy Characteristics
2y 4m to grant Granted Sep 01, 2026
Patent 12597525
HEALTHCARE SYSTEM FOR PROVIDING MEDICAL INSIGHTS
3y 3m to grant Granted Apr 07, 2026
Patent 12580055
MEDICAL LABORATORY COMPUTER SYSTEM
2y 6m to grant Granted Mar 17, 2026
Study what changed to get past this examiner. Based on 3 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

5-6
Expected OA Rounds
11%
Grant Probability
25%
With Interview (+14.4%)
2y 7m (~0m remaining)
Median Time to Grant
High
PTA Risk
Based on 28 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month