ECG-AGE

Serial Number 98218823
602

Registration Progress

Application Filed
Oct 11, 2023
Under Examination
Approved for Publication
Published for Opposition
Registered

Attorney Assistance

Abandonment Notice E-Mailed - Failure to Respond
Due: Sep 21, 2025 49 days
Revival assistance for abandoned trademark

Trademark Image

ECG-AGE

Basic Information

Serial Number
98218823
Filing Date
October 11, 2023
Abandonment Date
July 7, 2025
Drawing Code
4

Status Summary

Current Status
Inactive
Status Code
602
Status Date
Jul 21, 2025
Classes
009 038 042 044

Rights Holder

Anumana, Inc.

03
Address
1 Main Street, Suite 400
Cambridge, MA 02142

Ownership History

Anumana, Inc.

Original Applicant
03
Cambridge, MA

Legal Representation

Attorney
Stacey J. Watson

USPTO Deadlines

Next Deadline
49 days remaining
Abandonment Notice E-Mailed - Failure to Respond
Due Date
September 21, 2025

Application History

18 events
Date Code Type Description Documents
Jul 21, 2025 MAB2 E ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND Loading...
Jul 21, 2025 ABN2 O ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE Loading...
Mar 28, 2025 XELG O APPLICATION EXTENSION GRANTED/RECEIPT PROVIDED Loading...
Mar 28, 2025 XELR I APPLICATION EXTENSION TO RESPONSE PERIOD - RECEIVED Loading...
Jan 3, 2025 GNFR O FINAL REFUSAL E-MAILED Loading...
Jan 3, 2025 CNFR R FINAL REFUSAL WRITTEN Loading...
Jan 3, 2025 GNFN O NOTIFICATION OF FINAL REFUSAL EMAILED Loading...
Nov 29, 2024 TEME I TEAS/EMAIL CORRESPONDENCE ENTERED Loading...
Nov 26, 2024 TROA I TEAS RESPONSE TO OFFICE ACTION RECEIVED Loading...
Nov 26, 2024 CRFA I CORRESPONDENCE RECEIVED IN LAW OFFICE Loading...
Sep 2, 2024 XELR I APPLICATION EXTENSION TO RESPONSE PERIOD - RECEIVED Loading...
Sep 2, 2024 XELG O APPLICATION EXTENSION GRANTED/RECEIPT PROVIDED Loading...
May 31, 2024 CNRT R NON-FINAL ACTION WRITTEN Loading...
May 31, 2024 GNRT F NON-FINAL ACTION E-MAILED Loading...
May 31, 2024 GNRN O NOTIFICATION OF NON-FINAL ACTION E-MAILED Loading...
May 30, 2024 DOCK D ASSIGNED TO EXAMINER Loading...
Oct 16, 2023 NWOS I NEW APPLICATION OFFICE SUPPLIED DATA ENTERED Loading...
Oct 14, 2023 NWAP I NEW APPLICATION ENTERED Loading...

Detailed Classifications

Class 009
Downloadable software for analyzing cardiac data using artificial intelligence; downloadable software for analyzing electrocardiogram (ECG) data and diagnosing cardiac conditions using artificial intelligence; downloadable computer programs featuring artificial intelligence-based algorithms for analyzing electrocardiogram (ECG) signal data; downloadable and recorded computer software using artificial intelligence for machine learning to support clinical data platforms for diagnostics in the fields of cardiology and electrophysiology; downloadable medical software for managing and assessing cardiac data using artificial intelligence; downloadable medical software for electrocardiogram (ECG) recording, monitoring, analysis, and management using artificial intelligence; computer hardware, recorded software, and peripheral devices for use with mobile computer systems and smartphones, all for medical use in monitoring patient physiological indicators and in transmitting physiological health data to patient's healthcare providers; downloadable and recorded computer software for use with mobile computer systems, smartphones, and peripheral devices, all for medical use in monitoring, recording, and analyzing personal physiological activity, analyzing electrocardiogram (ECG) readings, and in transmitting physiological health data; downloadable software for use with mobile computer systems, smartphones and peripheral devices, all for medical use in monitoring, recording, and analyzing personal physiological activity, analyzing electrocardiogram (ECG) readings, transmitting physiological health data and providing additional clinical information, including co-morbidities, medications, procedures, for patients with similar electrocardiogram (ECG) readings
Class 038
Electronic transmission of data in relation to the use of artificial intelligence and computer science for the prevention, diagnosis and analysis of heart disease, stroke and cardiac arrhythmia and the effect of inherited cardiac disorders as a common cause for electrical disturbances in the heart
Class 042
Providing an on-line non downloadable system using artificial intelligence for analyzing electrocardiographs and electrocardiograms in support of making clinical decisions in the medical field; technical analysis of medical, biological and physiological data generated using medical and electrocardiogram machinery, artificial intelligence, and computer science for the prevention, diagnosis and analysis of heart disease; Software as a service (SAAS) services featuring software utilizing algorithms and artificial intelligence for use in machine learning in the field of collecting, analyzing, storing, and transmitting heart sound and electrocardiogram (ECG) recordings of the human body for detection, diagnosis, prediction and prognosis of cardiovascular disease; Software as a service (SAAS) services featuring software for analyzing and presenting electrocardiogram (ECG) data by applying artificial intelligence-based algorithms to the data; Software as a service (SAAS) services featuring software for using artificial intelligence for cardiac disease management; Software as a service (SAAS) services featuring software for heart rhythm recording, monitoring, and analysis using artificial intelligence; Software as a service (SAAS) services featuring software for analyzing cardiac data using artificial intelligence; Software as a service (SAAS) services featuring software for analyzing electrocardiogram (ECG) data and diagnosing cardiac conditions using artificial intelligence; providing online non-downloadable software featuring artificial intelligence-based algorithms for analyzing electrocardiogram (ECG) signal data; providing temporary use of on-line non-downloadable cloud computing software for analysis, interpretation and automatic diagnosis of electrocardiogram exams using artificial intelligence; advanced product research in the field of artificial intelligence; Software as a Service (SaaS) services, namely, hosting software for use by others for developing, hosting, managing, and maintaining applications, software, web services, and websites, all for medical use in monitoring and analyzing patient physiological activity and in transmitting and storing physiological health data none of the foregoing specifically directed to cardiology, critical care, or the physical treatment of structural heart disease; Software as a Service (SaaS) services, namely, hosting software for use by others for developing, hosting, managing, and maintaining applications, software, web services, and websites, all for medical use in monitoring, recording, and analyzing personal physiological activity, analyzing electrocardiogram (ECG) readings, and in transmitting physiological health data; providing online non-downloadable software for medical use in monitoring, recording, and analyzing personal physiological activity, analyzing electrocardiogram (ECG) readings, and in transmitting physiological health data; research and development services in the field of artificial intelligence; research, design and development of computer programs and software
Class 044
Providing health information in the nature of electrocardiogram (ECG) and heart rate readings and biometric data; providing health information in the nature of electrocardiogram (ECG) and heart rate readings and biometric data by means of online software applications

Additional Information

Pseudo Mark
ELECTROCARDIOGRAM AGE

Classification

International Classes
009 038 042 044