Prognostic value of multi-PLD ASL radiomics in acute ischemic stroke.

Introduction: Early prognosis prediction of acute ischemic stroke (AIS) can support clinicians in choosing personalized treatment plans. The aim of this study is to develop a machine learning (ML) model that uses multiple post-labeling delay times (multi-PLD) arterial spin labeling (ASL) radiomics features to achieve early and precise prediction of AIS prognosis.

Methods: This study enrolled 102 AIS patients admitted between December 2020 and September 2024.

AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study.

Background: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms. Current diagnostic methods, including clinical assessments and laboratory tests, frequently lack the speed and specificity needed for timely intervention, particularly in vulnerable populations such as older adults, intensive care unit (ICU) patients, and those with compromised immune systems.

Natural Polysaccharide-Based Hydrogels for Accelerating Hemostasis.

Most of the existing hydrogel dressings have inadequacies in mechanical performance, biological activities, compatibility, or versatility, which results in the development of rapid, green, and cost-effective approaches for hydrogels in biochemical and biomedical applications becoming a top-priority task. Herein, inspired by the inherent bioactivity, water retention properties, and biocompatibility of natural polysaccharide hydrogels, we have prepared self-healing gels. Using polysaccharide (BSP), carboxymethyl chitosan (CMCS), and borax via borate ester linkages, we created hemostatic and self-healing Chinese herbal medicine hydrogels in varying concentrations (2.

Discovery of -(1,2,4-Thiadiazol-5-yl)benzo[]oxepine-4-carboxamide Derivatives as Novel Antiresistance Androgen Receptor Antagonists.

The ligand-binding pocket of the androgen receptor (AR) is the targeting site of all clinically used AR antagonists. However, various drug-resistant mutations emerged in the pocket. We previously reported a new targeting site at the dimer interface of AR (dimer interface pocket) and identified a novel antagonist M17-B15 that failed in oral administration.

Poly(lactic acid)-based materials with enhanced gas permeability for modified atmosphere packaging of Chinese bayberry.

Biodegradable plastics are increasingly utilized in packaging, driven by green chemistry and environmental responsibility. Among them, poly(L-lactic acid) (PLLA) stands out due to its biodegradability and biocompatibility. However, its limited gas permeability and selectivity hinder its application in produce preservation.