Deep Learning Radiopathomics Models Based on Contrast-enhanced MRI and Pathologic Imaging for Predicting Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma.

Purpose To develop deep learning (DL) radiopathomics models based on contrast-enhanced MRI and pathologic imaging to predict vessels encapsulating tumor clusters (VETC) and survival in hepatocellular carcinoma (HCC). Materials and Methods In this retrospective, multicenter study, 578 patients with HCC (mean age [±SD], 59 years ± 10; 442 male, 136 female) were divided into the training ( = 317), internal ( = 137), and external ( = 124) test sets. DL radiomics and pathomics models were developed to predict VETC using gadoxetic acid-enhanced MR and pathologic images.

A study on the impact of chronic diseases and depressive symptoms comorbidity on the risk of cognitive impairment in middle-aged and older adults people based on the CHARLS database.

Objective: This study aimed to investigate the combined impact of comorbid chronic diseases and depressive symptoms on the risk of cognitive impairment in middle-aged and older adults populations. It also explored the interaction mechanisms and provided scientific evidence for cognitive health interventions.

Methods: Data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS) were used, including 16,890 participants aged 45 years and older.

Recanalization is more important than procedure time on outcome of thrombectomy in acute vertebrobasilar artery occlusion.

Longer procedure time (PT) predicts worse prognosis after endovascular treatment (EVT) in acute vertebrobasilar artery occlusion (VBAO), but it remains unknown whether it is worth pursuing recanalization when the PT is obviously extended. Patients with acute VBAO who received EVT were retrospectively enrolled from 21 stroke centers in China from December 2015 to December 2018. Multivariable logistic analysis was performed to analyze the associations of PT with favorable outcome (defined as modified Rankin Scale score of 0 to 3) and mortality at 90 days.

Stable High-Entropy Alloy AlCoCrFeNi with Anti-Dealloying Effect for Enhanced Oxygen Evolution Performance.

The catalytic performance of oxygen evolution reaction (OER) catalysts is influenced by their elemental composition. Aluminum (Al) offers abundant active sites due to its high oxidation affinity, which makes it unstable in both acidic and alkaline environments. We used the gas atomization method (GAM) to prepare the aluminum-containing single-phase high-entropy alloy AlCoCrFeNi ( = 0, 0.

An Update of Salivary Biomarkers for the Diagnosis of Alzheimer's Disease.

Alzheimer's disease (AD) is characterized by progressive cognition and behavior impairments. Diagnosing AD early is important for clinicians to slow down AD progression and preserve brain function. Biomarkers such as tau protein and amyloid-β peptide (Aβ) are used to aid diagnosis as clinical diagnosis often lags.