In the fields of medicine and healthcare, it is not uncommon for private and public companies to invest significantly in research and new technologies. Not surprisingly, over the past decade, the application of artificial intelligence and machine learning techniques has found fertile ground precisely in these sectors.
synbrAIn has actively contributed to the innovation process as a leading partner in the DIGI-B-Cube funding program, which itself is funded by the European Union’s Horizon 2020 program. DIGI-B-Cube was created to facilitate collaboration among small and medium-sized enterprises, supporting the introduction of new digital technologies in companies working in bioimaging, biosensing, and biobanking.
Together with two other partners, Restorative Neurotechnologies and USE-ME-D, synbrAIn responded to DIGI-B-Cube’s open call by presenting a project identified by the acronym AI4NT, which summarizes its core objective: the development of an AI-based system capable of automatically generating a rehabilitation plan for neurological patients with cognitive disorders.
A total of 217 project proposals were submitted, but only 16 were ultimately selected. Even more interesting is the fact that among the 16 selected projects, one involves Senticlab, a research company that works closely with synbrAIn on artificial intelligence applications in the healthcare sector.
As mentioned earlier, the goal of the AI4NT project is to develop a system that facilitates the definition of a therapeutic pathway for the recovery of patients’ cognitive abilities. synbrAIn’s role will be to define and implement the machine learning algorithms that power this system. To this end, Restorative Neurotechnologies will provide a dataset built with (properly anonymized) data from a significant number of patients suffering from cognitive disorders, along with the therapeutic choices made and the outcomes of those treatments. Finally, USE-ME-D will support the entire process to ensure the final product is verified and certified in compliance with the IEC 62304 standard for medical software development.
The AI4NT project represents an important step for synbrAIn toward the creation of new products and services that leverage the potential of artificial intelligence for healthcare applications. The project’s output is not just an endpoint but rather a starting point for a long-term collaboration among the partners, aimed at certifying and developing new product versions.
