76 documents found, page 1 of 8
Integrating PET for tumour hypoxia in radiotherapy planning: Insights from Port...
Sousa, Ruben Diogo Oliveira; Faria, Brígida Mónica; Bravo, Isabel; Costa, Pedro; Costa, Pedro; Faria, Brigida MonicaIn the era of personalised medicine, tumour hypoxia (TH) is critical in radiotherapy (RT) response due to its role in tumour resistance. Positron Emission Tomography (PET) enables non-invasive assessment of TH and supports heterogeneous dose-escalation to hypoxic sub-volumes, improving treatment efficacy. This study explores Nuclear Medicine Technologists (NMT) and Radiotherapy Technologists (RTT) perceptions o...
Life cycle assessment using machine learning
Gomes, Sofia; Faria, Brígida Mónica; Oliveira, Alexandra Alves; Pinto, Edgar; Rodrigues, Matilde; Vieira, Manuela; Faria, Brigida MonicaLife Cycle Assessment (LCA) is a scientific tool that allows calculating the impact of a product or service on the environment, considering the different phases from planting to transportation, commercialization, consumption, and disposal. (1) LCA requires comprehensive data collection of the inputs and outputs such as raw materials, energy, water, used chemicals and pollutants emissions at each stage of the li...
Machine learning in tumor classification in breast cancer
Lima, Ana Sofia; Coutinho, Carolina; Machado, Raquel; Oliveira, Alexandra Alves; Faria, Brígida Mónica; Faria, Brigida Monica; Oliveira, AlexandraBreast cancer is the primary cause of mortality among women worldwide (1). Discernible patterns can be found within the disease, presenting an opportunity for the application of machine learning (ML), garnering effective results in screening and diagnosis. Different ML algorithms were tested - Decision Tree, Deep Learning (DL), k-Nearest Neighbors (k-NN) and Naïve Bayes - to construct a predictive model allowin...
Comparison of accuracy in 2D and 3D templates in total knee arthroplasty
Viana, Tânia; Faria, Brígida Mónica; Faria, Brigida MonicaTotal knee arthroplasty replaces damaged components with prostheses, often used to treat severe osteoarthritis or joint injuries. Advances such as digital templating improve preoperative planning, reducing errors and costs, but accuracy in the choice of implants is crucial to the success of the intervention. This study will compare the accuracy between three-dimensional (3D) and two-dimensional (2D) templating ...
In-silico prediction of the complete ataxin-3 protein network relevant for Spin...
Batista, Paulo; Vieira, Jorge; Vieira, Cristina P.; Faria, Brígida Mónica; Faria, Brigida MonicaSpinocerebellar ataxia type 3, also known as Machado Joseph disease (SCA3/MJD), is the most common inherited ataxia worldwide and is caused by a pathogenic expansion of the polyglutamine (polyQ) tract, located at the C-terminal region of the ataxin-3 protein (1). The polyQ region is involved in the stabilization of protein- protein interactions (PPIs). Abnormal polyQ expansion results in structural changes of t...
Sequence alignment: Comparative analysis of algorithms in KRAS genetic mutations
Pereira, Ana Rita; Lopes, Carlos; Oliveira, Catarina; Pereira, Gonçalo; Moreira, Rui; Faria, Brígida Mónica; Faria, Brigida MonicaFor this study a program was developed in Python on biological sequence alignment, considering the application of algorithms in the genetic analysis of Kristen rat sarcoma viral oncogene (KRAS) and its main mutations associated with cancer. The KRAS gene, like other genes in the same family, is responsible for encoding proteins that regulate cell proliferation, differentiation, and apoptosis. The algorithms emp...
Qualidade do sono e dor lombar inespecífica em trabalhadores portugueses
Almeida, Paula; Figueiras, Benedita; Silva, Mariana; Faria, Brígida Mónica; Bohn, Lucimére; Miranda, LeonorO sono tem um papel fundamental na saúde e no desempenho das atividades de vida diária, tal como o trabalho, e podem ser comprometidos pela dor. A dor lombar inespecífica tem sido referida como uma das maiores justificações para a incapacidade no trabalho.
Applications of brain wave classification for controlling an intelligent wheelc...
Avelar, Maria Carolina; Almeida, Patricia; Faria, Brígida Mónica; Reis, Luís PauloThe independence and autonomy of both elderly and disabled people have been a growing concern in today’s society. Therefore, wheelchairs have proven to be fundamental for the movement of these people with physical disabilities in the lower limbs, paralysis, or other type of restrictive diseases. Various adapted sensors can be employed in order to facilitate the wheelchair’s driving experience. This work develop...
Sono e dor musculoesquelética cervical em atletas de voleibol
Figueiras, Benedita; Gomes, Sofia; Faria, Brígida Mónica; Bohn, Lucimere; Miranda, LeonorA dor cervical é frequente em jogadores de voleibol e pode comprometer o desempenho ocupacional e a participação no sono. A terapia ocupacional, numa compreensão holística da problemática da dor cervical e do sono nestes atletas (Leive et al., 2020), enquanto seres ocupacionais (Gomes et al., 2021), poderá desempenhar um relevante papel na avaliação e intervenção terapêutica, e consequentemente na promoção da s...
Affinity coefficient for clustering autoregressive moving average models
Nascimento, Ana Paula; Oliveira, Alexandra; Faria, Brígida Mónica; Pimenta, Rui; Vieira, Mónica; Prudêncio, Cristina; Nicolau, Helena BacelarIn various fields, such as economics, finance, bioinformatics, geology, and medicine, namely, in the cases of electroencephalogram, electrocardiogram, and biotechnology, cluster analysis of time series is necessary. The first step in cluster applications is to establish a similarity/dissimilarity coefficient between time series. This article introduces an extension of the affinity coefficient for the autoregres...