Background Given that machine learning is one of the most effective approaches for identifying disease risk factors, this study aimed to explore the predictors of preeclampsia through machine learning...
Obesity-related metabolic disease is linked to impaired adipose tissue function, but the underlying molecular programs are difficult to assign to specific adipose-resident cell types, to mechanistical...
Background This review identifies and describes clinical prioritisation tools used to rank patients on surgical waiting lists for cataract surgery, knee replacement, and inguinal hernia repair, and ev...
Bottlenose dolphins (Tursiops truncatus) frequently interact with fisheries worldwide, yet their fine-scale behavioral responses to fishing fleets remain poorly documented in tropical continental shel...
Background: Gastrocutaneous fistulae following sleeve gastrectomy represent a serious complication associated with prolonged and complex management. To explore innovative therapeutic options, we aimed...
Mixed-Integer Programs (MIPs) are NP-hard optimization models that arise in a broad range of decision-making applications, including finance, logistics, energy systems, and network design. Although mo...
Multidrug-resistant (MDR) pathogens and mycotoxin contamination in food systems require safe and sustainable antimicrobial strategies. Although plant essential oils possess strong antimicrobial proper...
Glycosylation is a key structural modification of immunoglobulin G (IgG) that modulates its effector functions and has multiple roles in balancing inflammation. Altered IgG glycosylation has been repo...
Background: Individuals with severe mental illness (SMI) have an increased risk for physical comorbidities, such as diabetes and cardiovascular disease, leading to reduced life expectancy. The oversha...
In modern manufacturing value chains, achieving optimal product quality and sustainability necessitates collaboration across interconnected stakeholders. Conventional Latent Variable Model Inversion (...
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