Optimal treatment regimes in the presence of a cure fraction.

Despite the widespread use of time-to-event data in precision medicine, existing research has often neglected the presence of the cure fraction, assuming that all individuals will inevitably experience the event of interest. When a cure fraction is present, the cure rate and survival time of uncured patients should be considered in estimating the optimal individualized treatment regimes. In this study, we propose direct methods for estimating the optimal individualized treatment regimes that either maximize the cure rate or mean survival time of uncured patients.

A novel therapeutic strategy for osteosarcoma using anti-GD2 ADC and EZH2 inhibitor.

Osteosarcoma is the commonest malignant bone tumour in children, with a poor prognosis due to limited treatment options. Antibody-drug conjugates (ADCs) offer targeted therapeutic potential but are limited by the low expression of specific antigens like disialoganglioside (GD2) on osteosarcoma cells. This study aimed to enhance the efficacy of an anti-GD2 ADC by combining it with the enhancer of zeste homolog 2 (EZH2) inhibitor tazemetostat to upregulate GD2 expression and improve treatment outcomes.

Study on the Anti-Fatigue Effects of Polysaccharides from Erjing Formula.

Background: The traditional Chinese recipe "Erjing Formula", composed of HuangJing and GouQi, is recognized for its tonifying and revitalizing properties, but the active components responsible for these effects are poorly explored. This study investigated the antifatigue effects of Erjing Formula polysaccharides (EJFP).

Methods: Mice were treated with EJFP and subjected to weight-loaded swimming tests.

Exploring the mechanism of Zhengxintai Formula for the treatment of coronary heart disease based on network pharmacology.

Zhengxintai Formula (ZXT) has shown good effects in the clinical treatment of coronary atherosclerotic heart disease (CHD). However, its potential molecular mechanism for treating coronary heart disease is still unknown. The Traditional Chinese Medicine Systematic Pharmacology Database and Analysis Platform and literature reviews were used to determine the active components and targets of the 6 herbs used in ZXT.

Automatic Design of Deep Graph Neural Networks With Decoupled Mode.

Graph neural networks (GNNs), a class of deep learning models designed for performing information interaction on non-Euclidean graph data, have been successfully applied to node classification tasks in various applications such as citation networks, recommender systems, and natural language processing. Graph node classification is an important research field for node-level tasks in graph data mining. Recently, due to the limitations of shallow GNNs, many researchers have focused on designing deep graph learning models.

Response Analysis of the Three-Degree-of-Freedom Vibroimpact System with an Uncertain Parameter.

The inherent non-smoothness of the vibroimpact system leads to complex behaviors and a strong sensitivity to parameter changes. Unfortunately, uncertainties and errors in system parameters are inevitable in mechanical engineering. Therefore, investigations of dynamical behaviors for vibroimpact systems with stochastic parameters are highly essential.

Disrupted topological organization of the motor execution network in Wilson's disease.

Objective: There are a number of symptoms associated with Wilson's disease (WD), including motor function damage. The neuropathological mechanisms underlying motor impairments in WD are, however, little understood. In this study, we explored changes in the motor execution network topology in WD.