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INESC TEC's SEED project MICOS - Monitoring Infants with a Contactless Solution, developed a tool for detecting vital signs in premature babies using low-cost cameras and computer vision algorithms.
18th March 2022
Lung cancer is one of the most common and deadliest in the world. The biopsy is the method used for its diagnosis and characterisation, and although it allows obtaining valuable information, it could lead to certain clinical issues. The LuCaS (Lung cancer screening - A non-invasive methodology for early diagnosis) project aims to make decision support systems in the characterisation of lung cancer more objective and quantitative.
10th March 2022
INESC TEC, LAQV-REQUIMTE, the Faculty of Pharmacy of the University of Porto and the School of Medicine and Biomedical Sciences developed a solution that evaluates antibiotic contamination – namely sulphonamides and fluoroquinolones – in environmental waters, and in real time, using mobile phones. The technology, developed within the scope of the S-MODE project – Screening of antibiotic contamination by mobile devices, will also contribute to the monitoring and protection of ecosystems.
04th March 2022
Within the scope of the Easy Ride Project, promoted by Bosch Car Multimedia and co-promoted by the University of Minho, INESC TEC collaborated in the design of models for the processing of audio-visual data, which allow characterising the activity of occupants of shared self-driving vehicles, while detecting unwanted behaviours.
24th February 2022
The Institute of Systems and Computer Engineering, Technology and Science (INESC TEC) and the pathological anatomy laboratory IMP Diagnostics developed a solution that allows optimising the diagnosis of colorectal pathologies, using Artificial Intelligence (AI). This solution was developed within the scope of the CADPath.AI project, according to the best and latest technology in terms of the anatomopathological diagnosis of histological samples.
23rd February 2022
According to the Portuguese Road Safety Authority, car accidents have a very significant impact on our society, with drowsiness being one of the main causes of accidents in Portugal. This was the basis for the development of the project AUTOMOTIVE – AUTOmatic multimodal drowsiness detection for smart VEhicles, which focused on the study and development of methodologies for driver monitoring, with particular emphasis on fatigue and drowsiness detection, using sensors on the steering wheel.
14th February 2022
A team of researchers from INESC TEC, in collaboration with the Polytechnic Institute of Leiria, won the second edition of the international competition AI/ML in 5G Grand Challenge, organised by the International Telecommunication Union (ITU) – within the scope of the development of more efficient artificial intelligence algorithms, namely deep learning algorithms for 5G communications networks.
21st January 2022
Helena Montenegro, researcher at INESC TEC, received the "Best Master’s Thesis" award granted by the Portuguese Association for Pattern Recognition (APRP), with the topic "A privacy-preserving framework for case-based interpretability in machine learning".
06th December 2021
Three teams composed of INESC TEC’s researchers were acknowledged at several international competitions in the field of telecommunications and multimedia with direct impact health. The awards were presented by three different entities: International Telecommunication Union (ITU), with the INESC TEC team winning first place; MICCAI Hackathon 2021, where INESC TEC researchers reached the top place, and Fraunhofer Portugal Challenge, with the team reaching third place.
24th November 2021
INESC TEC’s Centre for Telecommunications and Multimedia (CTM) and Centre for Robotics and Autonomous Systems (CRAS) – in partnership with the Portuguese Institute for Sea and Atmosphere (IPMA) – developed a new long-range and broadband underwater communications solution to support autonomous deep-sea exploration.
26th October 2021
The processing and analysis of breast cancer images to support screening and the planning of surgical treatment have been used by scientists and physicians for several years, through computer vision and machine learning techniques.
28th September 2021
The European project TERAPOD, focused on testing wireless solutions in data centres for the first time, has come to an end. The developed technologies can contribute to the more efficient management of said facilities.
29th July 2021