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Body composition analysis in metastatic non-small-cell lung cancer: depicting s...

Mendes, José Leão; Ferreira, Rita Quaresma; Mata, Inês; Barreira, João Vasco; Rodrigues, Ysel Chiara; Dias, David Silva; Capelas, Manuel; Mäkitie, Antti

Background/Objectives: Sarcopenia is an emergent prognostic biomarker in clinical oncology. Albeit increasingly defined through skeletal muscle index (SMI) thresholding, literature cut-offs fail to discern heterogeneous baseline muscularity across populations. This study assesses the prognostic impact of using cohort-specific SMI thresholds in a Portuguese metastatic non-small-cell lung cancer (mNSCLC) cohort. ...


The impact of pre-, pro- and synbiotics supplementation in colorectal cancer tr...

Moreira, Mariana Melo; Carriço, Marta; Capelas, Manuel Luís; Pimenta, Nuno; Santos, Teresa; Ganhao-Arranhado, Susana; Mäkitie, Antti; Ravasco, Paula

Introduction: The effectiveness of the supplementation of prebiotics, probiotics and synbiotics as a therapeutic approach in colorectal cancer (CRC) remains unclear. The aim of this systematic review is to critically examine the current scientific evidence on the impact of modulating the microbiota, through the use of prebiotics, probiotics and synbiotics, in patients diagnosed with CRC undergoing treatment, to...


Analysing the Effects of Different Types of Exercise on Dyspnoea and Fatigue in...

Couto, Nuno; Cid, Luis; Alves, Susana; Brito, João; Pimenta, Nuno; Bento, Teresa

Background: Chronic obstructive pulmonary disease (COPD) is a heterogeneous lung condition, the main symptoms of which are dyspnoea and fatigue. Though exercise has been recommended for subjects with COPD, its benefits remain unclear. The aim of this study was to summarise, through a systematic review and meta-analysis, the available evidence on the effects of aerobic, resistance, stretching, and combined exerc...


Bioelectrical Impedance Analysis (BIA) for the assessment of body composition i...

Branco, Mariana Garcia; Mateus, Carlota; Capelas, Manuel Luís; Pimenta, Nuno; Santos, Teresa; Mäkitie, Antti; Ganhão-Arranhado, Susana

Bioelectrical Impedance Analysis (BIA) is a reliable, non-invasive, objective, and cost-effective body composition assessment method, with high reproducibility. This scoping review aims to evaluate the current scientific and clinical evidence on BIA for body composition assessment in oncology patients, under active treatment. Literature search was conducted through MEDLINE, CINAHL, Scopus and Web of Science dat...


Identifying and assessing self-management behaviours

Henriques, Helga Rafael; Camolas, José; Pimenta, Nuno; Mendes, Anabela

This chapter firstly describes target behaviours for chronic diseases, chosen based on their prevalence and potential for self-management: type 2 diabetes, chronic obstructive pulmonary disease, hypertension, heart failure, obesity, asthma and ischaemic heart disease. High-level target behaviours (e.g. diet, physical activity, medication adherence, smoking cessation, symptom monitoring and management) are prese...


Analysing the effects of different types of exercise on dyspnoea and fatigue in...

Couto, Nuno; Cid, Luís; Alves, Susana; Brito, João Paulo; Pimenta, Nuno; Bento, Teresa

Background: Chronic obstructive pulmonary disease (COPD) is a heterogeneous lung condition, the main symptoms of which are dyspnoea and fatigue. Though exercise has been recommended for subjects with COPD, its benefits remain unclear. The aim of this study was to summarise, through a systematic review and meta-analysis, the available evidence on the effects of aerobic, resistance, stretching, and combined exerc...


Physical therapists’ choices, views and agreements regarding non-pharmacologica...

Gonçalves, Rui S.; Pimenta, Nuno; Martins, Pedro N.; Ferreira, Ricardo M.

The aims of this study are to collect the most common non-pharmacological and non-surgical interventions used by the Portuguese physical therapists in their knee osteoarthritis patients, and to deeper understand the factors associated to their intervention choices. Methods: This study incorporated a mixed-methods design. For the quantitative data it was choose an e-survey (with 25 close-end questions, plus gene...

Date: 2023   |   Origin: Biblioteca Digital do IPB

Multi-agent system for multimodal machine learning object detection

Coelho, Eduardo; Pimenta, Nuno; Peixoto, Hugo; Durães, Dalila; Melo-Pinto, Pedro; Alves, Victor; Bandeira, Lourenço; Machado, José Manuel; Novais, Paulo

Multi-agent systems have shown great promise in addressing complex problems that traditional single-agent approaches are not be able to handle. In this article, we propose a multi-agent system for the conception of a multimodal machine learning problem on edge devices. Our architecture leverages docker containers to encapsulate knowledge in the form of models and processes, enabling easy management of the syste...


A comprehensive study on personal and medical information to predict diabetes

Pimenta, Nuno; Sousa, Regina; Peixoto, Hugo; Machado, José Manuel

Diabetes mellitus is without a doubt one of the most wellknown and prevalent diseases in people’s daily lives. Creating a tool that can predict the disease would benefit professionals and healthcare systems alike, benefiting both families and countries’ economies in general. Data Mining can be a useful factor in the development of this predictive tool. Data was explored in this study in order to determine which...


Supplementary online resources for the development of behaviour change support ...

Štiglic, Gregor; Braam, Katja; Carmo, Maria Beatriz; Correia, Luís; Gosak, Lucija; Lorber, Mateja; Pimenta, Nuno; Cláudio, Ana Paula

The final chapter presents open-access educational products that supplement this book: case studies and a web application to simulate behaviour change support in persons with chronic disease. The former is of particular interest for academic educators, while the latter may interest students independently pursuing training outside the classroom. These products can also be useful for professionals aiming to enhan...


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