The new neurostimulator produced by the North-American company Medtronic relies on technology developed by INESC TEC’s Centre for Biomedical Engineering Research (C-BER), in order to measure the movements caused by epileptic events in 3D, and connect them with deep brain stimulation, as well as brain surface signals (EEG). This device was approved for human use in Europe in January this year, and it enables stimulating and capturing brain signals simultaneously, which can make all the difference in the patients’ quality of life. For the first time in the world, this neurostimulator was implanted in an epileptic patient, and used in a study on 3D EEG video technology in late July, at the University Hospital Centre of São João (CHUSJ).
14th September 2020
ILoF – Intelligent on Fiber, a spin-off from the University of Porto, established in INESC TEC and currently incubated at the Faculty of Medicine (FMUP), is among the 150 most promising start-ups in the field of digital health worldwide, according to a list provided by CB Insights, a North American company specialised in business analysis.
31st August 2020
The TAMI project (Transparent Artificial Medical Intelligence), led by First Solutions and with the participation of INESC TEC through the Centre for Telecommunications and Multimedia (CTM) and the Centre for Biomedical Engineering Research (C-BER), aims to make medical diagnosis supported by Artificial Intelligence (AI) clearer and more reliable.
06th August 2020
The ICIAR 2020 – 17th International Conference on Image Analysis and Recognition – took place between the June 24 and 26. The international event in the fields of Image Processing and Analysis, Computer Vision, Machine Learning and Medical Image Analysis has been held annually, alternating between Portugal and Canada. The 2020 edition was “100% digital”, with the collaboration of five researchers from INESC TEC.
09th July 2020
A group of researchers from INESC TEC's Centre for Applied Photonics (CAP), Centre for Biomedical Engineering Research (C-BER) and Centre for Innovation Technology and Entrepreneurship (CITE), together with the spin-off iLoF, is studying the implementation of a quick and low-cost tool based on personalised medicine, in order to predict the evolution of Covid-19 viral infection in patients.
11th May 2020
The Foundation for Science and Technology (FCT) approved five INESC TEC projects under the "RESEARCH FOR COVID-19" financing line, with the Institute as the applicant entity in three of said projects - and a total of €85M funding. These initiatives will focus on the development of solutions to fight against the COVID-19 pandemic.
27th April 2020
An article published in one of Nature's scientific journals shows that iLoF (Lab on Fiber) intelligent device is a promising technology to identify cancer cells with different profiles
12th March 2020
“EyeWeS: Weakly Supervised Pre-Trained Convolutional Neural Networks for Diabetic Retinopathy Detection” is the title of the scientific article that earned the Best Practical Paper Award at the MVA 2019 (International Conference on Machine Vision Applications) held in Tokyo, Japan.
14th February 2020
INESC TEC has a patent granted in China for the first time. The accomplishment was achieved with the C4Mir technology ("Control Module for Multiple Mixed-Signal Resources Management"), which had already seen its patent applications be granted in Europe, USA, South Korea and Japan.
30th December 2019
INESC TEC and the São João University Hospital (CHUSJ) developed a system for the diagnosis of pulmonary nodules. The innovation has been already tested in the radiology department of that hospital and allows the detection, characterisation and determination of the malignancy of pulmonary nodules.
30th December 2019
An INESC TEC paper in the area of medical image analysis is among the 10% most cited papers in the scientific journal PLOS One of 2017. With the participation of researchers from the Centre for Biomedical Engineering Research (C-BER) and the Centre for Telecommunications and Multimedia (CTM), the paper describes a method for automatic classification of histology images of breast tissue biopsy into four classes: normal tissue, with benign lesions, with carcinoma in situ or invasive carcinoma.
18th December 2019
A spin-off of INESC TEC, iLoF, was one of the winners of the Wild Card programme, a European acceleration programme for disruptive healthcare projects, ensuring a EUR 2 million investment by an international consortium.
19th November 2019
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