|
|
|
António Sampaio Duarte,Filipe Miguel Rodrigues
Pág. 35 - 49
A aplicação de compostos clorados na desinfeção da água pode induzir à formação de subprodutos da desinfeção (SPD) com efeitos carcinogénicos e mutagénicos comprovados. Neste trabalho, apresenta-se uma síntese de um estudo sobre a ocorrência de trihalome...
ver más
|
|
|
|
|
|
|
Julia Figueroa-Martínez, Dulcenombre M. Saz-Navarro, Aurelio López-Fernández, Domingo S. Rodríguez-Baena and Francisco A. Gómez-Vela
Gene networks have become a powerful tool for the comprehensive examination of gene expression patterns. Thanks to these networks generated by means of inference algorithms, it is possible to study different biological processes and even identify new bio...
ver más
|
|
|
|
|
|
|
Sepideh Molaei, Stefano Cirillo and Giandomenico Solimando
MicroRNAs (miRNAs) play a crucial role in cancer development, but not all miRNAs are equally significant in cancer detection. Traditional methods face challenges in effectively identifying cancer-associated miRNAs due to data complexity and volume. This ...
ver más
|
|
|
|
|
|
|
Elliasu Y. Salifu, Mbuso A. Faya, James Abugri and Pritika Ramharack
Cancer remains a major challenge in the field of medicine, necessitating innovative therapeutic strategies. Mitogen-activated protein kinase (MAPK) signaling pathways, particularly Extracellular Signal-Regulated Kinase 1 and 2 (ERK1/2), play pivotal role...
ver más
|
|
|
|
|
|
|
Fahimeh Aminolroayaei, Saghar Shahbazi-Gahrouei, Amir Khorasani and Daryoush Shahbazi-Gahrouei
Breast cancer is the foremost common cause of death in women, and its early diagnosis will help treat and increase patients? survival. This review article aims to look at the studies on the recent findings of standard imaging techniques and their charact...
ver más
|
|
|
|
|
|
|
Sara Rajaram and Cassie S. Mitchell
The ability to translate Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) into different modalities and data types is essential to improve Deep Learning (DL) for predictive medicine. This work presents DACMVA, a novel framework ...
ver más
|
|
|
|
|
|
|
Marco Leo, Pierluigi Carcagnì, Luca Signore, Francesco Corcione, Giulio Benincasa, Mikko O. Laukkanen and Cosimo Distante
Colorectal cancer is one of the most lethal cancers because of late diagnosis and challenges in the selection of therapy options. The histopathological diagnosis of colon adenocarcinoma is hindered by poor reproducibility and a lack of standard examinati...
ver más
|
|
|
|
|
|
|
Mariana Lourenço, Teresa Arrufat, Elena Satorres, Sara Maderuelo, Blanca Novillo-Del Álamo, Stefano Guerriero, Rodrigo Orozco and Juan Luis Alcázar
(1) Background: Accurate preoperative diagnosis of ovarian masses is crucial for optimal treatment and postoperative outcomes. Transvaginal ultrasound is the gold standard, but its accuracy depends on operator skill and technology. In the absence of expe...
ver más
|
|
|
|
|
|
|
Giampaolo D?Alessandro, Pantea Tavakolian and Stefano Sfarra
The present review aims to analyze the application of infrared thermal imaging, aided by bio-heat models, as a tool for the diagnosis of skin and breast cancers. The state of the art of the related technical procedures, bio-heat transfer modeling, and th...
ver más
|
|
|
|
|
|
|
Rejane Viana, Ana C. Rocha, André P. Sousa, Diogo Ferreira, Rúben Fernandes, Cátia Almeida, Patrick J. Pais, Pilar Baylina and Ana Cláudia Pereira
Colorectal cancer (CRC) is the third most common cancer diagnosed today and the third leading cause of death among cancer types. CRC is one of the gastrointestinal tumors with obesity as the main extrinsic risk factor, since, according to authors, the me...
ver más
|
|
|
|