Apps
MCS Datalabs is your specialist for IoT, data analytics and software development.
We develop customised applications that combine innovation, usability and quality.
Our dedicated team works closely with you to unlock digital potential and drive sustainable growth.
Relevium
The primary goal of RELEVIUM is to enhance overall palliative care for patients with pancreatic cancer.
The team's collective efforts, coupled with innovative technology, aim to improve quality of life, effectively manage pain, reduce sarcopenia, enhance ECOG status, and ensure the continued accessibility of treatment.
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Decide
In order to be able to treat the widespread diseases of cancer and mental illness at the highest level,
even in structurally weaker regions, DECIDE is developing various tools to ensure care and provide data for research.
In order to be able to treat the widespread diseases of cancer and mental illness at the highest level, DECIDE is developing various instruments, such as exercise therapy, to also ensure care in rural areas and provide data for research.
6-G Path
The 6G-PATH Project aims to foster the development of new technologies supporting 6G, both in close collaboration with other 6G Smart Networks and Services Industry Association (6G-IA) projects and through the process of Open Calls to engage European companies developing innovations for Beyond 5G (B5G) and 6G systems, as well as bringing new use cases and pilot sites to the ecosystem. Such technologies and pilots will be combined in relevant platforms to be used by a set of applications in use cases corresponding to the four verticals where 6G-PATH will be present: Health, Education, Smart Cities and Farming (in line with the Use Case Priority 2 of the Call).
MCS Labeled Data
The MCS Labeled Data App is a dedicated application designed for researchers to record data in controlled settings and experimental use cases, supporting further analysis and machine learning model training.
The app offers a customizable labeling feature that allows users to assign specific labels to each recorded data point. Additionally, the labeled data can be stored in various formats and destinations, depending on the researcher’s needs. It can be saved locally on the mobile device in CSV format or sent to a time-series database for centralized storage and processing.
The MCS Labeled Data App was used in projects like Relevium and Privacy Umbrella.