BACKGROUND: BrainAge models estimate the biological age of the brain using neuroimaging or clinical features, making them promising tools for studying neurodegenerative diseases like Alzheimer's disease. However, the reliance of BrainAge models on ne...
Di (2-ethylhexyl) phthalate (DEHP), a widely used plasticizer with known immunotoxic effects, has been suspected of aggravating inflammatory skin conditions, yet its role in autoimmune diseases such as psoriasis remains poorly defined. In this study,...
Journal of public health management and practice : JPHMP
Oct 21, 2025
CONTEXT: Predictive modeling can identify neighborhoods at elevated risk of future overdose death and may assist community organizations' decisions about harm reduction resource allocation. In Rhode Island, PROVIDENT is a research initiative and rand...
Traditional track and field education relies heavily on subjective assessment and manual feedback systems, creating critical barriers to personalized instruction in large-scale educational settings. This study presents a novel machine learning framew...
To quantitatively measure the volume of white matter hyperintensities (WMHs) in different parts of the brain in patients with different types of cognitive function and analyze the relationship between WMH volume and cognitive function to obtain a thr...
Dementia with Lewy Bodies (DLB) is characterized by motor and cognitive deficits that often overlap with other neurodegenerative disorders, complicating its diagnosis. This study combined linear mixed-effects modeling and machine learning to investig...
One such prevalent kind of cancer among women is cervical cancer (CC). Fatality rates and incidence are progressively increasing, mainly in developing countries, due to a lack of experienced specialists, inadequate public awareness, and limited scree...
Parkinson's disease (PD) causes motor, non-motor, and mental health challenges that significantly impact health-related quality of life (HRQoL); however, previous studies relied on subjective assessments. Several factors are associated with poor HRQo...
The decision-making process in healthcare services encounters numerous challenges. Artificial intelligence (AI) has significantly contributed to enhancing healthcare decision-making. There is a lack of validated instruments available in the literatur...
Soft Tissue sarcomas (STS) are a group of heterogeneous and complex diseases where being able to predict the appearance of metastases is key to inform clinical decisions, especially the prescription of adjuvant chemotherapy. We developed SarcNet: a m...
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