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The team belongs to a renewed Portuguese institution and is seeking participation in a consortium for the DIGITAL-2024-CLOUD-DATA-06-HEALTHCARE-AI initiative.


The organisation works in the development of Machine Learning models to predict diseases, which helps the improvement of current treatments, by using techniques of supervised and/or unsupervised learning, such as deep learning, convolutional neural networks (CNN), long short-term memory networks (LSTMs), and many traditional techniques from the area.


Their projects are co-developed with clinicians, who strongly present their perspective about the algorithms and its relevance for daily work at a healthcare institute. By harnessing the expertise in AI and healthcare technologies, they are poised to play a role in a consortium, fostering equitable access to advanced healthcare solutions.


The institute is looking for a consortium or groups of partners that misses an entity that can perform the design of Machine Learning models, as that is the type of work-package in which they can collaborate. The partner researched can either be from industry, R&D from medicine areas, hospitals and other clinical partners, among many others.

Codice di riferimento della ricerca partner: RDRPT20240227030

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Per ottenere ulteriori informazioni finalizzate ad attivare una partnership, segnaliamo che è possibile:

  • se localizzati in Emilia Romagna, compilare il modulo per manifestare il proprio interesse
  • se localizzati in altre regioni d'Italia, individuare l'ente di riferimento per la propria regione sul sito ufficiale di Enterprise Europe Network riportando, in ogni caso, il codice di riferimento.

Per pubblicare la vostra ricerca partner nel database della rete Enterprise Europe Network è possibile contattare l’ente di riferimento della rete EEN. Qualora localizzati in Emilia-Romagna potete contattare ART-ER all’indirizzo e-mail simpler@art-er.it 

Data chiusura
Unione Europea
Quadro di finanziamento