AI-Driven Discovery of Highly Specific and Efficacious hCES2A Inhibitors for Ameliorating Irinotecan-Triggered Gut Toxicity.

The anticancer agent irinotecan often induces severe delayed-onset diarrhea, inhibiting human carboxylesterase 2A (hCES2A) can significantly alleviate irinotecan-triggered gut toxicity (ITGT). This work presents an efficient workflow for design and developing novel efficacious hCES2A inhibitors. A well-training machine learning model identified as a lead compound, while compound was developed as a novel time-dependent hCES2A inhibitor (IC = 0.

Magnetically targeted delivery of probiotics for controlled residence and accumulation in the intestine.

The effectiveness of orally delivered probiotics in treating gastrointestinal diseases is restricted by inadequate gut retention. In this study, we present a magnetically controlled strategy for probiotic delivery, which enables controlled accumulation and residence of probiotics in the intestine. The magnetically controlled probiotic is established by attaching amino-modified iron oxide (FeO-NH NPs) to polydopamine-coated GG (LGG@P) through electrostatic self-assembly and named as LGG@P@FeO.

Effects of faecal microbiota transplantation supplemented with inulin on early immunity and immune organ histomorphology in chickens.

1. Faecal microbiota transplantation (FMT) is a technique that promotes gut microbiota diversity and abundance by transplantation of faeces into a recipient's gastrointestinal tract multiple routes.2.

Unlocking the Potential of Machine Learning in Co-crystal Prediction by a Novel Approach Integrating Molecular Thermodynamics.

Co-crystal engineering is of interest for many applications in pharmaceutical, chemistry and material fields, but rational design of co-crystals is still challenging. Although artificial intelligence has brought major changes in the decision-making process for materials design, yet limitations in generalization and mechanistic understanding remain. Herein, we sought to improve prediction of co-crystal by combining mechanistic thermodynamic modeling with machine learning.

Kinetic Energy Measured by 4D Flow Cardiac MRI in Evaluating Intraventricular Hemodynamics: A Systematic Review.

Unlabelled: Four-dimensional flow cardiovascular magnetic resonance (4D Flow cardiac MRI) is an advanced non-invasive imaging technology, and its derived kinetic energy (KE) blood flow parameters have been confirmed as a potential biomarkers for assessing ventricular hemodynamics. This review synthesizes details on the methodology, clinical significance, and current status of studies focused on quantifying KE parameters of the ventricle using 4D Flow cardiac MRI, providing an objective foundation for further exploration of the value of KE in cardiac diseases.

Study Type: retrospective.