# US 2026/0100280 A1 · Digital biomarker of dementia and depression > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0100280 A1 - Document ID: US20260100280A1 - Status: Published application - Kind: A1 - Application number: 18/908,349 - Filed: 2024-10-07 - Published: 2026-04-09 - Earliest claimed: 2024-10-07 - Inventors: Pankaj Gupta - Web page: https://patentgrep.com/patent/US20260100280A1 ## CPC - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - G16H 10/60: for patient-specific data, e.g. for electronic patient records - G16H 50/30: for calculating health indices; for individual health risk assessment - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA ## Abstract Embodiments directed to a computer-implemented diagnostic system and method to determine various diagnoses for different users, as well as symptom severity and onset of conditions associated with such diagnoses are described. In one example, a computer-implemented method of diagnosing health conditions for users includes identifying a defined linguistic pattern in digital biomarker data of a user. The method further includes prompting the user to perform a defined screening test based at least in part on identifying the defined linguistic pattern. The method further includes monitoring linguistic performance of the user while the user performs the defined screening test. The method further includes determining a diagnosis for the user based at least in part on the defined linguistic pattern, the linguistic performance, and a test result for the user from the defined screening test. ## Claims ### Claim 1 A computer-implemented method of diagnosing health conditions for users, the method comprising: identifying, by a computing device, a defined linguistic pattern in digital biomarker data of a user; prompting, by the computing device, the user to perform a defined screening test based at least in part on identifying the defined linguistic pattern; monitoring, by the computing device, linguistic performance of the user while the user performs the defined screening test; and determining, by the computing device, a diagnosis for the user based at least in part on the defined linguistic pattern, the linguistic performance, and a test result for the user from the defined screening test. ### Claim 2 (depends on 1) The method of claim 1, further comprising: capturing, by the computing device, the digital biomarker data of the user while the user performs an activity, wherein the digital biomarker data comprise at least one of audio data of the user speaking or moving, video data of the user speaking or moving, image data of the user speaking or moving, textual data typed by the user, or physiological data of the user captured while the user speaks or moves. ### Claim 3 (depends on 1) The method of claim 1, further comprising: learning, by the computing device, a plurality of linguistic patterns of the user over time based at least in part on historical digital biomarker data collected from the user at different times and during different activities. ### Claim 4 (depends on 1) The method of claim 1, further comprising: learning, by the computing device, reference medical data that are at least partly indicative of the diagnosis, wherein the reference medical data comprise at least one of reference linguistic patterns, reference digital biomarker data, reference linguistic performance data, or reference screening test result data that are at least partly indicative of the diagnosis. ### Claim 5 (depends on 1) The method of claim 1, wherein monitoring the linguistic performance of the user comprises: analyzing, by the computing device, at least one of audio data, video data, or physiological data of the user that are captured while the user performs the defined screening test. ### Claim 6 (depends on 1) The method of claim 1, wherein determining the diagnosis comprises: comparing, by the computing device, linguistic patterns of the user learned over time to reference linguistic patterns that are at least partly indicative of the diagnosis; comparing, by the computing device, the digital biomarker data to reference digital biomarker data that are at least partly indicative of the diagnosis; comparing, by the computing device, the linguistic performance to reference linguistic performance data that are at least partly indicative of the diagnosis; and comparing, by the computing device, the test result to reference screening test result data that are at least partly indicative of the diagnosis. ### Claim 7 (depends on 1) The method of claim 1, further comprising at least one of: determining, by the computing device, severity of one or more symptoms associated with the diagnosis; or predicting, by the computing device, an onset of one or more conditions associated with the diagnosis. ### Claim 8 (depends on 1) The method of claim 1, further comprising at least one of: prompting, by the computing device, the user to perform one or more follow-up actions based at least in part on the diagnosis. ### Claim 9 (depends on 1) The method of claim 1, further comprising at least one of: performing, by the computing device, at least one follow-up operation based at least in part on the diagnosis. ### Claim 10 (depends on 1) The method of claim 1, further comprising: sending, by the computing device, a notification of the diagnosis to a second computing device associated with at least one of a caretaker, a health provider, or a health benefit provider based at least in part on determining the diagnosis. ### Claim 11 (depends on 1) The method of claim 1, further comprising: implementing, by the computing device, communication between the user and a third-party entity by way of at least one of a third-party computing device or communication device associated with the third-party entity to perform one or more follow-up actions based at least in part on the diagnosis, wherein the third-party entity comprises at least one of a caretaker, a health provider, or a health benefit provider. ### Claim 12 (depends on 1) The method of claim 1, further comprising: inputting, by the computing device, data indicative of the user and the diagnosis into data fields of a computer-generated health benefit application of a health benefit provider based at least in part on determining the diagnosis. ### Claim 13 A computing device, comprising: a memory device to store computer-readable instructions thereon; and at least one processing device configured through execution of the computer-readable instructions to: identify a defined linguistic pattern in digital biomarker data of a user; prompt the user to perform a defined screening test based at least in part on identifying the defined linguistic pattern; monitor linguistic performance of the user while the user performs the defined screening test; and determine a diagnosis for the user based at least in part on the defined linguistic pattern, the linguistic performance, and a test result for the user from the defined screening test. ### Claim 14 (depends on 13) The computing device of claim 13, wherein the at least one processing device is further configured to: capture the digital biomarker data of the user while the user performs an activity, wherein the digital biomarker data comprise at least one of audio data of the user speaking or moving, video data of the user speaking or moving, image data of the user speaking or moving, textual data typed by the user, or physiological data of the user captured while the user speaks or moves. ### Claim 15 (depends on 13) The computing device of claim 13, wherein the at least one processing device is further configured to: learn a plurality of linguistic patterns of the user over time based at least in part on historical digital biomarker data collected from the user at different times and during different activities. ### Claim 16 (depends on 13) The computing device of claim 13, wherein the at least one processing device is further configured to: learn reference medical data that are at least partly indicative of the diagnosis, wherein the reference medical data comprise at least one of reference linguistic patterns, reference digital biomarker data, reference linguistic performance data, or reference screening test result data that are at least partly indicative of the diagnosis. ### Claim 17 (depends on 13) The computing device of claim 13, wherein to identify the defined linguistic pattern, the at least one processing device is further configured to: compare linguistic patterns of the user learned over time to reference linguistic patterns that are at least partly indicative of the diagnosis; compare the digital biomarker data to reference digital biomarker data that are at least partly indicative of the diagnosis; compare the linguistic performance to reference linguistic performance data that are at least partly indicative of the diagnosis; and compare the test result to reference screening test result data that are at least partly indicative of the diagnosis. ### Claim 18 (depends on 13) The computing device of claim 13, wherein the at least one processing device is further configured to: determine severity of one or more symptoms associated with the diagnosis; or predict an onset of one or more conditions associated with the diagnosis. ### Claim 19 (depends on 13) The computing device of claim 13, wherein the at least one processing device is further configured to: prompt the user to perform one or more follow-up actions based at least in part on the diagnosis; or perform at least one follow-up operation based at least in part on the diagnosis. ### Claim 20 A computer-implemented method of diagnosing health conditions for users, the method comprising: identifying, by a computing device, a defined linguistic pattern in digital biomarker data of a user; implementing, by the computing device, a defined screening test to be performed by the user based at least in part on identifying the defined linguistic pattern; monitoring, by the computing device, linguistic performance of the user during the defined screening test; and determining, by the computing device, a diagnosis for the user based at least in part on the defined linguistic pattern, the linguistic performance, and a test result for the user from the defined screening test.