Healthcare faces a critical challenge: protecting sensitive medical data while enabling necessary clinical access. Evolving user behaviors, dynamic clinical contexts, and strict regulatory requirements demand adaptive access control mechanisms. Despite strict regulations, healthcare remains the most breached industry, consistently facing severe security risks related to unauthorized access. Traditional access c...
BackgroundPlaque assessment by quantitative coronary CT angiography has demonstrated to correlate highly with intravascular ultrasound and optical coherence tomography, and these modalities have shown strong prognostic value.ObjectivesThe purpose of this study was to identify the prognostic value of artificial intelligence–guided quantitative CCTA (AI-QCT) for major adverse cardiovascular events (MACE) against ...
INTRODUCTION: Mismatch negativity (MMN) is a neural response to unexpected deviations from a regular sequence of stimuli. A diminished MMN is highly replicated in schizophrenia; however, whether this is observed in bipolar disorder (BD) is less clear. AIM: To conduct a meta-analysis of MMN alterations in people with BD compared to healthy controls. METHODS: Electronic databases were searched until 20/10/2025, f...
Background and Objective: Although awareness of vertebral body osteonecrosis following fractures has increased, it remains underdiagnosed and represents one of the most challenging and unpredictable complications after spinal trauma. The arterial supply of the vertebral body may play an important role in fracture healing; however, this remains unproven and is not currently incorporated into treatment algorithms...
This chapter examines how Angolan editorial projects such as Cultura (Luanda, 1957–59), Mensagem (Lisbon, 1944–64), and Imbondeiro (Sá da Bandeira, now Lubango, 1960–64) challenged colonial borders as political and symbolic constructs during the late colonial period. These initiatives employed literature as a form of resistance, demonstrating how African writers engaged in transnational debates about culture, l...
Objective: To develop, externally validate, and simplify a machine learning model to predict remission between 6 and 24 months in patients with rheumatoid arthritis (RA) initiating tumor necrosis factor inhibitors, JAK inhibitors, interleukin-6 inhibitors, abatacept, or rituximab using data from 11 international registries in the JAK-pot collaboration. Methods: We analyzed 21,675 treatment courses for model tra...
Background: Despite advanced analytical methods and increasing data availability, most intensive care unit (ICU) prediction models rely on static measurements. However, longitudinal monitoring of biomarkers may better capture disease progression and support timely, individualized interventions within the framework of predictive, preventive, and personalized medicine (PPPM). Since the COVID-19 pandemic, interest...