A Novel Technique for rapid localization of pulmonary nodules on-site in Operating Room Followed by Lung Resection: a Case Series.

Background: The localization of pulmonary nodules is crucial for surgical intervention. However, a safe, simple, and efficient method remains elusive. This study aims to evaluate the safety and feasibility of a newly developed preoperative localization method for pulmonary nodules called Rapid Localization of Pulmonary Nodules On-Site (RLPN-OS).

Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding.

Background: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective intervention for managing complications of portal hypertension, particularly acute variceal bleeding (AVB). While effective in reducing portal pressure and preventing rebleeding, TIPS is associated with a considerable risk of overt hepatic encephalopathy (OHE), a complication that significantly elevates mortality rates.

Aim: To develop a machine learning (ML) model to predict OHE occurrence post-TIPS in patients with AVB using a 5-year dataset.

MHNet: Multi-view High-Order Network for Diagnosing Neurodevelopmental Disorders Using Resting-State fMRI.

Deep learning models have shown promise in diagnosing neurodevelopmental disorders (NDD) like ASD and ADHD. However, many models either use graph neural networks (GNN) to construct single-level brain functional networks (BFNs) or employ spatial convolution filtering for local information extraction from rs-fMRI data, often neglecting high-order features crucial for NDD classification. We introduce a Multi-view High-order Network (MHNet) to capture hierarchical and high-order features from multi-view BFNs derived from rs-fMRI data for NDD prediction.

Chemoproteomic Profiling of Clickable Fumarate Probes for Target Identification and Mechanism of Action Studies.

Dimethyl fumarate (DMF) is an established oral therapy for multiple sclerosis worldwide. Although the clinical efficacy of these fumarate esters has been extensively investigated, the mode of action and pharmacokinetics of fumarates have not been fully elucidated due to their broad-spectrum reactivity and complex metabolism in vivo. To better understand the mechanism of action of DMF and its active metabolite, monomethyl fumarate (MMF), we designed and utilized clickable probes to visualize and enrich probe-modified proteins.

Detection and Treatment with Peptide Power: A New Weapon Against Bacterial Biofilms.

Bacterial biofilms, complex microbial communities encased in a protective extracellular matrix, pose a significant threat to public health due to their inherent antibiotic resistance. This review explores the potential of peptides, particularly antimicrobial peptides (AMPs), as innovative tools to combat biofilm-related infections. AMPs, characterized by their potent antimicrobial activity and tissue permeability, offer a promising approach to overcome the challenges posed by biofilms.