Cancilico

EUIPO EUIPO 2024 Application published

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The Union trademark Cancilico was filed as Word mark on 05/07/2024 at the European Union Intellectual Property Office. The current status of the mark is "Application published".

Trademark Details Last update: June 21, 2024

Trademark form Word mark
File reference 019023881
Application date May 7, 2024
Publication date June 20, 2024

Trademark owner

Tatzberg 47
01307 Dresden
DE

Trademark representatives

Königstraße 7 01097 Dresden DE

goods and services

9 Computer software platforms, recorded or downloadable; Artificial intelligence software for healthcare; Interactive software based on artificial intelligence; Artificial intelligence software for analysis; Databases; Data networks; Data storage programs; Interactive databases; Interactive database software; Computer programmes for data processing; Real-time data processing apparatus; Digital sensors; Digital measuring apparatus; Digital panel meters; Software as a medical device [SaMD], downloadable; Computer programmes for data processing; Sensory software
42 Scientific research for medical purposes in the area of cancerous diseases; Development of automated cell detection processes, By means of artificial intelligence; Development of digital biomarkers for diagnostics and therapy control in the following fields: Oncology and hematology; Development of artificial intelligence systems, for use in the following fields: cancer diagnostics; Platforms for artificial intelligence as software as a service [SaaS]; Providing artificial intelligence computer programs on data networks; Online data storage, for use in the following fields: cancer diagnostics; Clinical research; Clinical trials; Technical research relating to automatic identification systems
44 Conducting of medical bone marrow analysis for the diagnosis of cancer; Medical analysis services for cancer diagnosis and prognosis; Medical diagnostic services; Providing medical diagnostic services, By means of artificial intelligence; Conducting of cell detection and analysis for the diagnosis of cancer

ID: 11019023881