Research

Main research lines in healthcare using artificial intelligence:

Virtual Coach and Data Analytics

(Virtual Assistants and Data Analysis)

Strong scientific skills, technologies, resources, the ability to translate research results into services, a fluid organization and a consolidated network of joint laboratories and collaborations with local, national and international players contribute to the design and creation of innovative health solutions.

Their implementation in the technology sector and their validation in the field takes place through POCs (proof-of-concept or feasibility demonstrations) and pilot studies (e.g. clinical trials), and make it to production in the health system, ensuring validity and protecting security at all stages, up to the end user.

Thanks to TrentinoSalute4.0, the Competence Center for the development of digital healthcare in Trentino, we are able to manage the full research-innovation process jointly with stakeholders.

RESEARCH TOPICS

KNOWLEDGE REPRESENTATION I SEMANTIC WEB & PROCESS MINING

APPLIED RESEARCH ON DIGITAL HEALTH TECHNOLOGIES

DATA SCIENCE I ARTIFICIAL INTELLIGENCE I MACHINE LEARNING I HEALTH & COMPUTATIONAL BIOLOGY

  • Future Media (FM)

MACHINE INTELLIGENCE IN SOCIAL MEDIA AUTOMATION FOR FUTURE OF WORK

COMPUTATIONAL LEARNING METHODS FOR CLINICAL NEUROSCIENCE

LANGUAGE TECHNOLOGIES | INFORMATION EXTRACTION FROM TEXT | DIALOGE SYSTEMS | MACHINE LEARNING FOR NLP

  • Digital Health Research (dHRes)

  • Intelligent Digital Agents (IDA)

TRUSTWORTHY AND ETHICAL AI | KNOWLEDGE AND DATA | DIALOGUES AND PERSUASION