4 documents found, page 1 of 1
Big data and machine learning to tackle diabetes management
Pina, Ana F; Meneses, Maria João; Sousa-Lima, Inês; Henriques, Roberto; Raposo, João F; Macedo, Maria PaulaType 2 Diabetes (T2D) diagnosis is based solely on glycaemia, even though it is an endpoint of numerous dysmetabolic pathways. Type 2 Diabetes complexity is challenging in a real-world scenario; thus, dissecting T2D heterogeneity is a priority. Cluster analysis, which identifies natural clusters within multidimensional data based on similarity measures, poses a promising tool to unravel Diabetes complexity.
Fibrosis nonalcoholic steatohepatitis index validation and applicability consid...
Pina, Ana; Meneses, Maria João; Ribeiro, Rogério César de Almeida; Raposo, João F; Macedo, Maria PaulaNonalcoholic fatty liver disease (NAFLD) diagnosis without using invasive methods is extremely challenging, highlighting the need for simple indexes for this end. Recently, the fibrotic nonalcoholic steatohepatitis index (FNI) was developed and proposed as an affordable non-invasive score calculated with aspartate aminotransferase, high-density lipoprotein cholesterol and haemoglobin A1c. Herein, and given the ...
Insights from qualitative research on NAFLD awareness with a cohort of T2DM pat...
Alemany-Pagès, Mireia; Moura-Ramos, Mariana; Araújo, Sara; Macedo, Maria Paula; Ribeiro, Rogério T.; do Ó, Dulce; Santos, João RamalhoIt is estimated that around 70% of Type 2 Diabetes Mellitus patients (T2DM) have Non-Alcoholic Fatty Liver Disease (NAFLD). Awareness and education are amongst the major shortcomings of the public health response to the increasing threat of NAFLD. Characterizing the specific NAFLD-related information needs of particular high-risk metabolic communities, for instance, T2DM patients, might aid in the development o...
Urine-Derived Stem Cells: Applications in Regenerative and Predictive Medicine
Bento, Guida; Shafigullina, Aygul K.; Rizvanov, Albert A.; Sardão, Vilma A.; Macedo, Maria Paula; Oliveira, Paulo J.Despite being a biological waste, human urine contains a small population of cells with self-renewal capacity and differentiation potential into several cell types. Being derived from the convoluted tubules of nephron, renal pelvis, ureters, bladder and urethra, urine-derived stem cells (UDSC) have a similar phenotype to mesenchymal stroma cells (MSC) and can be reprogrammed into iPSC (induced pluripotent stem ...