Evaluation of the actinia-shaped composite coagulant for removal of algae in water: Role of charge density.

A series of novel cationic modified actinia-shaped composite coagulant (AMS-C), with similar tentacle length and distribution but different charge density (CD), was successfully designed and fabricated by combination of a cationic graft starch and attapulgite (ATP). AMS-C shows a high efficiency in coagulative removal of Microcystis aeruginosa from water over a wide pH range. The algae-harvesting efficiency of optimized AMS-C can reach to 92.

Development and validation of a prognostic nomogram incorporating neutrophil-to-albumin ratio for predicting overall survival in patients with nasopharyngeal carcinoma undergoing concurrent chemoradiotherapy.

Background: Recent research suggests that the emerging neutrophil-albumin ratio (NAR) has a significant correlation with the survival outcomes across a range of tumors, yet its predictive significance for nasopharyngeal carcinoma (NPC) remains insufficiently investigated. This study aimed to evaluate the relationship between the neutrophil-to-albumin ratio (NAR) and overall survival (OS) in patients with NPC, as well as to develop a corresponding prognostic model.

Methods: This retrospective analysis included 861 NPC patients treated with concurrent chemoradiotherapy (CCRT), who were randomly divided into a training group (n = 605) and a validation group (n = 256).

Machine Learning for Predicting Primary Graft Dysfunction After Lung Transplantation: An Interpretable Model Study.

Background: Primary graft dysfunction (PGD) develops within 72 h after lung transplantation (Lung Tx) and greatly influences patients' prognosis. This study aimed to establish an accurate machine learning (ML) model for predicting grade 3 PGD (PGD3) after Lung Tx.

Methods: This retrospective study incorporated 802 patients receiving Lung Tx between July 2018 and October 2023 (640 in the derivation cohort and 162 in the external validation cohort), and 640 patients were randomly assigned to training and internal validation cohorts in a 7:3 ratio.

A new platform of electrowetting-on-dielectric digital microfluidics for rapid detection of early-stage Hepatocellular Carcinoma(HCC) specific biomarker.

Background: The early detection of Hepatocellular Carcinoma (HCC) is crucial for improving patient survival rates.Early diagnosis of HCC can significantly enhance treatment outcomes and reduce disease progression. Antigen detection of tumor markers is one of the important diagnostic methods for HCC.

Targeting hyaluronan synthesis enhances the therapeutic effectiveness of biologics in inflammatory bowel disease.

Although biologics have been revolutionizing the treatment of inflammatory bowel diseases (IBD) over the past decade, a significant number of patients still fail to benefit from these drugs. Overcoming the nonresponse to biologics is one of the top challenges in IBD treatment. In this study, we revealed that hyaluronan (HA), an extracellular matrix (ECM) component in the gut, is associated with nonresponsiveness to infliximab and vedolizumab therapy in patients with IBD.