Nanjing Second Hospital

Using interpretable machine learning models to predict the occurrence of severe influenza in hospitalized children: a retrospective cohort study

BACKGROUND: Influenza, a prevalent disease, significantly threatens public health. Accurately predicting severe influenza occurrences is crucial for developing personalized prevention strategies and treatment plans. AIMS: This study aimed to construct a highly interpretable model...

Gut Microbiota-Derived Indole-3-propionic Acid Attenuates Titanium Dioxide Nanoparticle-Induced Liver Injury by Targeting Kupffer Cells via the Gut–Liver Axis

Abstract Nanotitanium dioxide (nTiO2) is widely used as a food additive, leading to chronic dietary exposure and rising health concerns. Although adverse effects on the liver and gut microbiota have been individually investigated, whether gut microbiota mediates nTiO2-induced liv...

Noninvasive Detection of MASH and Fibrotic Burden Using Ultrasound‐Derived LIID and LSM in MASLD: A Multicenter Study

ABSTRACT Background and Aims Metabolic dysfunction‐associated steatohepatitis (MASH), the progressive form of metabolic dysfunction‐associated steatotic liver disease (MASLD), is associated with adverse hepatic and cardiometabolic outcomes. The study aimed to validate a novel qua...