Fundação para a Ciência e Tecnologia
Identificação e previsão de procura de urgências hospitalares
Metodologias de ciências dos dados e IA paea esturar variações nos picos de emergência em unidades de urgência hospitalar e possíveis factores que podem prevê-los.
Multimodal conversational agents for the online fashion marketplace
iFetch proposes to deliver a new generation of task-oriented conversational AI agents, which can interact by using verbal and visual information in a seamless manner, to mediate the interaction between large organizations and their users. This will be based on conversational technology and algorithms, by addressing critical challenges, like tracking the evolution of the shopping [...]
Intelligent Multimorbidity Management System
This project will focus on managing the issue of a growing population with multimorbidity (co-occurring diseases), a worldwide problem to the sustainability of the healthcare system. IntelligentCare aims to develop a patient-centric solution to manage multimorbidity conditions by using analytical methods to explore data from the electronic health records and measures reported remotely by the [...]
Sistema Automático de Vigilância Remota de Sintomatologia Vital COVID-19
O projecto visa implementar uma solução tecnológica de baixo custo, acoplando uma plataforma de eHealth de recolha, gestão e visualização de dados fisiológicos e clínicos a um sistema ubíquo de aquisição de medidas sintomatológicas (oximetria, temperatura, HR e respiração) baseado em telemóvel. Este projecto vai ser desenvolvido entre o SNS (HSM), instituições do sistema de [...]
Mechano-dependent capture of circulating tumour cells: a cell-ECM based approach coupled with cancer specific glycomarkers
Epithelial Circulating Tumour Cells (CTCs) often have reduced expression of epithelial markers, such as E-cadherin and isolation based on physical properties is not a selective approach. As such, existing methods to capture live CTCs hold major weaknesses. Herein, we take advantage of the adhesion properties of invasive cancer cells, namely their specific interaction with the [...]
Stroke Neurorehabilitation Augmented by Virtual Reality and EEG-neurofeedback: Neuroimaging-based Validation and Optimization
This project combines the latest research findings for effective stroke rehabilitation together with novel biomedical systems for brain monitoring (EEG, fMRI) and VR biofeedback, providing simpler and effective neurorehabilitation solutions. The aim of this project is to develop a novel and more inclusive rehabilitation system with the use of novel ICT technologies, in order to [...]
Multimodal neuroimaging biomarkers throughout the migraine cycle: towards neurofeedback training for personalized anti-migraine treatment
In this project, we aim to identify multimodal neuroimaging biomarkers of migraine, and to use these to develop a novel personalized therapeutic approach based on neurofeedback training. The project is led by ISR-Lisboa at Técnico and is carried out in collaboration with iMM and Hospital da Luz – Learning Health.
Real-Time Forest Fire Mapping and Spread Forecast Using Unmanned Aerial Vehicles
This project will develop a solution to support firefighting actions in forest fires through the realtime detection and tracking of fire fronts and reburns. This will be achieved by processing the information acquired from manned and unmanned aerial vehicles equipped with specialized sensing and communication systems, that overfly the affected areas. This information will be [...]