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What if Artificial Intelligence (AI) could learn more from less? That is the challenge behind LEIA, a project involving INESC TEC and the National Institutes of Applied Research (NIAR), Taiwan. The project aims to develop new AI techniques to support the diagnosis of lung diseases and the monitoring of environmental ecosystems, while reducing the need for large quantities of expert-annotated data.
03rd August 2026
In biomedical research and clinical monitoring, teams increasingly rely on the simultaneous use of multiple wearable and physiological sensors, which make it possible to collect different types of data using various devices - and this is where the real challenge begins. To ensure a reliable analysis of the information, the data streams need to be properly synchronised. An INESC TEC study found that 58% of multi-device systems reported in the literature have never assessed synchronisation latency - a gap that R&D can help close.
22nd June 2026
The opening edition of the Meeting on Medical Image Analysis (MMIA) promoted the exchange of scientific advances and recent results in the field of medical image analysis, bringing together more than 70 researchers from Portugal, Spain, Italy and the Netherlands. The event also fostered discussion on pressing and current clinical challenges – with a second edition in 2027 already confirmed.
27th May 2026
The city of Porto will host the Meeting on Medical Image Analysis (MMIA). The first edition of this event dedicated to the medical image analysis community will take place at INESC TEC on 8 May, promoting the sharing of scientific advances and recent results in this field, as well as discussion of pressing and current clinical challenges. For now, the challenge has been issued: until 27 March, it is possible to submit scientific abstracts for presentation at the event.
25th February 2026