Evaluation of smart bi-functional dressing based on polysaccharide hydrogels and Brassica oleracea extract for wound healing and continuous monitoring.

Skin wounds can drive global impacts, socially and economically, in parallel with their elevated incidence rate. Therefore, utilizing the dual-activity of Brassica Oleracea (Red Cabbage) extract, of being pH-sensitive and biologically active in designing novel, therapeutic, and pH-sensitive wound dressings with an easily stripped-off feature, is critical. Wound dressings were designed using two separate hydrogels based on chitosan (CS) and hydroxyethylcellulose (HEC), each loaded with RCE.

External validation and performance analysis of a deep learning-based model for the detection of intracranial hemorrhage.

Purpose: We aimed to investigate the external validation and performance of an FDA-approved deep learning model in labeling intracranial hemorrhage (ICH) cases on a real-world heterogeneous clinical dataset. Furthermore, we delved deeper into evaluating how patients' risk factors influenced the model's performance and gathered feedback on satisfaction from radiologists of varying ranks.

Methods: This prospective IRB approved study included 5600 non-contrast CT scans of the head in various clinical settings, that is, emergency, inpatient, and outpatient units.

Egyptian coastal lakes; A state of the art review for Lake Idku.

Egypt faces increasing difficulties in ensuring the availability of sufficient water resources that meet high-quality and acceptable standards. Factors including population growth, economic expansion, and various human activities collectively contribute to the degradation of surface water characteristics. The primary objective of this research is to evaluate the current condition of Idku Lake and propose viable solutions to alleviate the effects of pollution on the lake.