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CORVISTA
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CORVISTA United Kingdom Trademark Information

Software as a service (SaaS), namely, software used in conjunction with signal acquisition recorders that process resting phase cardiac and other biological signals recorded from the human body through algorithms, machine-learning technology, and modeling techniques for use by medical doctors, clinicians and researchers to diagnose cardiovascular disease and other heart-related ailments, all the aforementioned services for use in the field of cardiology.

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Words that describe this mark

software   service   saas       software   used   conjunction   signalacquisition   recorders   process   resting   phase   cardiac   biological   signals   recorded   human   body   algorithms     machinelearning   technology     modeling   techniques   use   medical   doctors     clinicians   researchers   diagnose   cardiovascular   disease   heartrelated   ailments  
On Thursday, November 10, 2016, a united kingdom trademark registration was filed for CORVISTA by Analytics For Life Inc. ********, ********, ***** ****. The United Kingdom IP office has given the trademark application number of UK00801328235. The current status of this trademark filing is Registered. The correspondent listed for CORVISTA is A2 ESTUDIO LEGAL of ********, ********, ***** **** The CORVISTA trademark is filed in the category of Computer & Software Services & Scientific Services .
Word Mark: CORVISTA
Current Status:
Registered
LIVE (Circa: 2016)
Application Number: UK00801328235
Filing Date: Thursday, November 10, 2016
Registration Date: Wednesday, May 29, 2019
Type of Mark: Individual
Mark Feature: Word
Publication: Not Available
Last Applicant/Owner: ********
********
***** ****
Correspondent:
********
********
***** ****

Classification Information

Class Description: 042 - Computer & Software Services & Scientific Services
Goods & Services: Software as a service (SaaS), namely, software used in conjunction with signal acquisition recorders that process resting phase cardiac and other biological signals recorded from the human body through algorithms, machine-learning technology, and modeling techniques for use by medical doctors, clinicians and researchers to diagnose cardiovascular disease and other heart-related ailments, all the aforementioned services for use in the field of cardiology.
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