Predicting distant metastasis of bladder cancer using multiple machine learning models: a study based on the SEER database with external validation.

Background And Purpose: Distant metastasis in bladder cancer is linked to poor prognosis and significant mortality. Machine learning (ML), a key area of artificial intelligence, has shown promise in the diagnosis, staging, and treatment of bladder cancer. This study aimed to employ various ML techniques to predict distant metastasis in patients with bladder cancer.

A comprehensive proteomic map revealing the regulation of the development of long-duration, red butterfly-shaped fruit in Euscaphis japonica.

Fruit features are crucial for plant propagation, population growth, biodiversity preservation, and evolutionary survival. However, the synergistic regulatory mechanisms underlying the development of fruit traits such as color, shape and duration are unclear. Euscaphis japonica, whose fruits have a red-winged pericarp and persist for a long period of time, is an important ornamental plant in eastern Asia.

Nondestructive detection of pungent and numbing compounds in spicy hotpot seasoning with hyperspectral imaging and machine learning.

The levels of capsaicin (CAP) and hydroxy-α-sanshool (α-SOH) are crucial for evaluating the spiciness and numbing sensation in spicy hotpot seasoning. Although liquid chromatography can accurately measure these compounds, the method is invasive. This study aimed to utilize hyperspectral imaging (HSI) combined with machine learning for the nondestructive detection of CAP and α-SOH in hotpot seasoning.

Clinicopathological characteristics and long-term prognosis of triple-negative breast cancer patients with HER2-Low expression: a retrospective propensity score-matched cohort study.

Purpose: The objective of the current research was to assess the clinicopathological characteristics and long-term prognosis of triple-negative breast cancer (TNBC) patients with human epidermal growth factor receptor 2 (HER2)-low status following breast surgery.

Methods: A total of 202 TNBC patients treated at Qingdao Central Hospital from January 2010 to December 2019 were included, comprising 71 HER2-low and 131 HER2-zero patients. Propensity score matching (PSM) was applied to minimize differences between the cohorts.

Xiaoxuming decoction enhanced neuroprotection after cerebral ischemia/reperfusion via the JAK2/STAT3 signaling pathway based on UPLC/HRMS, network pharmacology and experimental validation.

Ethnopharmacological Relevance: Xiao-xu-ming decoction (XXMD), a prominent traditional Chinese medicinal formula historically revered for stroke treatment, demonstrates pronounced efficacy in ameliorating ischemic stroke injury.

Aim Of The Study: This study aims to investigate the effects and mechanisms of XXMD on neuroprotection subsequent to cerebral ischemia/reperfusion in vivo and in vitro.

Materials And Methods: Neurobehavioral test, TTC staining, HE staining and nissl staining were used to examine the neuroprotective effect of XXMD on cerebral ischemia-reperfusion injury induced by middle cerebral artery occlusion (MCAO) in rats.