Performance of Noninvasive Tests for Metabolic Dysfunction-Associated Steatohepatitis and Liver Fibrosis Resolution after Bariatric Surgery.

Background: Noninvasive tests (NITs) to monitor metabolic dysfunction-associated steatohepatitis (MASH) progression and response to interventions are needed because of the risks of liver biopsy. A monocytes-based diagnostic test using perilipin-2 (PLIN2) and Ras-related protein-14 (RAB14) predict the severity of MASH and fibrosis. Here we compared the performances of PLIN2 and RAB14 with cytokeratin-18 (CK18) assessed by Ella™ or M65 ELISA in predicting MASH and fibrosis resolution following bariatric surgery in a longitudinal and histologically characterized cohort of individuals with obesity.

Enhancing door-to-door waste collection forecasting through ML.

We explore the application of machine learning (ML) techniques to forecast door-to-door waste collection, addressing the challenges in municipal solid waste (MSW) management. ML models offer a promising solution to optimize waste collection operations, especially amid growing urban populations and evolving waste generation rates. Leveraging comprehensive data from a northeastern Italian municipality, including various waste types, our study investigates ML algorithms' efficacy in predicting household waste collection requirements.

Percutaneous coronary saccular aneurysm exclusion.

Coronary artery aneurysms are a relatively uncommon finding during coronary angiography and can present certain challenges in terms of treatment options. This may be due to unclear underlying mechanisms and varying presentations, as well as a lack of large-scale outcome data. In this case report we present the successful use of percutaneous coronary intervention (PCI) in treating a 43-year-old male patient who presented with acute myocardial infarction and was discovered during angiography to have a saccular coronary aneurysm.

Ensuring quality information for patients tool to assess patient information on CABG websites: Systemic search and evaluation.

Background: Coronary artery bypass surgery (CABG) is the most common cardiac surgical procedure worldwide. The Internet is often the first place for patients to obtain medical information and may influence their health-seeking behaviour. This study aimed to assess the quality of online CABG information for patients.