Prognostic value of systemic immune-Inflammatory index in patients with diabetes mellitus and acute coronary syndrome after percutaneous coronary intervention: a prospective cohort study.

Background: A higher risk of cardiovascular disease has been correlated with several inflammatory biomarkers, one of which is the systemic immune-inflammatory index (SII). Nevertheless, the relationship between SII and major adverse cardiovascular and cerebrovascular events (MACCE) in patients with diabetes and acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI) remains unclear. The objective of this study was to assess the prognostic value of SII for the risk of MACCE in patients with diabetes and ACS who underwent PCI.

Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive Care IV (MIMIC-IV) Database.

Background: Accurate mortality risk prediction is crucial for effective cardiovascular risk management. Recent advancements in artificial intelligence (AI) have demonstrated potential in this specific medical field. Qwen-2 and Llama-3 are high-performance, open-source large language models (LLMs) available online.

Trade-off between pathogen control and seed viability: Engineering hydrothermal wastewater towards agricultural sustainable development and food security.

Ensuring the balance between pathogen control and seed viability is critical for advancing sustainable agricultural practices. Hydrothermal liquefaction aqueous phase (HTL-AP), a renewable byproduct of biomass processing, exhibits promising antifungal properties but poses challenges due to its concentration-dependent phytotoxicity. Here we report trade-off and tailored protocol for simultaneously efficient antifungal and seed growth via engineering HTL-AP based disinfectant.

Understand the antibacterial behavior and mechanism of hydrothermal wastewater.

Unlocking the antibacterial potential is an emerging strategy to valorizing the toxic wastewater from hydrothermal liquefaction (HTL). Here, we investigated the response and biological mechanism of antibacterial properties of HTL wastewater. Four different biowastes i.