Harnessing artificial intelligence in sepsis care: advances in early detection, personalized treatment, and real-time monitoring.

Sepsis remains a leading cause of morbidity and mortality worldwide due to its rapid progression and heterogeneous nature. This review explores the potential of Artificial Intelligence (AI) to transform sepsis management, from early detection to personalized treatment and real-time monitoring. AI, particularly through machine learning (ML) techniques such as random forest models and deep learning algorithms, has shown promise in analyzing electronic health record (EHR) data to identify patterns that enable early sepsis detection.

Effects of lipopolysaccharide infusion on feed intake, apparent digestibility, rumen fermentation and microorganisms of young Holstein bulls fed diets with different ratios of lysine and methionine.

The aim of this experiment was to investigate the effects of intravenous infusion of lipopolysaccharide (LPS) and feeding different ratios of lysine (Lys) and methionine (Met) on feed intake, apparent digestibility, rumen fermentation and microorganisms in young Holstein bulls. Five seven-month-old Holstein bulls with similar body weights (279 ± 42 kg) were selected and subjected to a 5 × 5 Latin square experiment. The control group (CON) was fed with basal diet and the ratio of Lys to Met in the diet was adjusted to 3.

Emerging role of PANoptosis in kidney diseases: molecular mechanisms and therapeutic opportunities.

Kidney diseases represent a significant global public health challenge, characterized by complex pathogenesis, high incidence, low awareness, insufficient early screening, and substantial treatment disparities. Effective therapeutic options remain lacking. Programmed cell death (PCD), including apoptosis, pyroptosis, and necroptosis, play pivotal roles in the pathogenesis of various kidney diseases.

Genetic associations between obesity and brain cortical thickness: combined genetic correlation, multi-trait meta- analysis and Mendelian randomization.

Introduction: Obesity may lead to cognitive impairment and neuropsychiatric disorders, which are associated with changes in the brain cortical structure, particularly in cortical thickness. However, the exact genetic association between obesity and brain cortical thickness remains inconclusive. We aimed to identify the relationship between obesity-related traits [body mass index (BMI), waist-hip ratio (WHR), and waist-hip ratio adjusted for BMI (WHRadjBMI)] and brain cortical thickness.

The effectiveness and safety of computed tomography-guided hook-wire localization for secondary video-assisted thoracoscopic surgery: a retrospective study.

Background: Computed tomography (CT)-guided hook-wire localization is currently the most commonly used technique for preoperative localization of pulmonary nodules in clinical practice. With the increasing incidence of multiple primary lung cancers and the increasing occurrence of second primary lung cancers or local recurrences after lung cancer surgery, some patients need to undergo an ipsilateral or contralateral second pulmonary resection. In order to reduce the surgical difficulty of the second operation and accurately guide the surgical resection, preoperative localization of some nodules is necessary.