Development and Validation of a Diagnostic Model for Stanford Type B Aortic Dissection Based on Proteomic Profiling.

Purpose: Stanford Type B Aortic Dissection (TBAD), a critical aortic disease, has exhibited stable mortality rates over the past decade. However, diagnostic approaches for TBAD during routine health check-ups are currently lacking. This study focused on developing a model to improve the diagnosis in a population.

A dendritic drug-drug conjugate self-assembled hypoxia-responsive supramolecular nanoparticle for combination therapy.

Hypoxia, a condition that enhances tumor invasiveness and metastasis, poses a significant challenge for diverse cancer therapies. There is a pressing demand for hypoxia-responsive nanoparticles with integrated photodynamic functions in order to address the aforementioned issues and overcome the reduced efficacy caused by tumor hypoxia. Here, we report a hypoxia-responsive supramolecular nanoparticle SN@IR806-CB consisting of a dendritic drug-drug conjugate (IR806-Azo-CB) and anionic water-soluble [2]biphenyl-extended-pillar[6]arene modified with eight ammonium salt ions (AWBpP6) the synergy of π-π stacking interaction, host-guest complexation, and hydrophobic interactions for synergistic photothermal therapy (PTT), photodynamic therapy (PDT), and chemotherapy (CT; , PTT-PDT-CT).

Comparing the effects of computerized versus manual methods of identifying point-specific acupuncture as an adjunct to physiotherapy in the management of knee osteoarthritis: A randomized controlled trial protocol.

Background: Knee osteoarthritis (KOA) is a prevalent condition causing significant pain and functional impairment. Acupuncture has shown promise as an adjunctive therapy, but conventional manual selection of acupoints lacks standardization. The Acugraph system provides a computerized method for identifying acupoints, potentially enhancing treatment precision.

Configurable Multi-Layer Perceptron-Based Soft Sensors on Embedded Field Programmable Gate Arrays: Targeting Diverse Deployment Goals in Fluid Flow Estimation.

This study presents a comprehensive workflow for developing and deploying Multi-Layer Perceptron (MLP)-based soft sensors on embedded FPGAs, addressing diverse deployment objectives. The proposed workflow extends our prior research by introducing greater model adaptability. It supports various configurations-spanning layer counts, neuron counts, and quantization bitwidths-to accommodate the constraints and capabilities of different FPGA platforms.

Dihydroartemisinin ameliorates skeletal muscle atrophy in the lung cancer cachexia mouse model.

Introduction: Cancer cachexia (CC) is characterized by weight loss with specifically reduced skeletal muscles and adipose tissues in patients with late-stage cancer. Dihydroartemisinin (DHA), an effective antimalarial derivative of artemisinin, has been demonstrated to have anti-inflammatory and antitumor properties.

Materials And Methods: This study examined the effects of DHA on the Lewis lung carcinoma (LLC)-induced CC mouse model.

Cutaneous adverse events associated with BRAF and MEK inhibitors: a systematic review and meta-analysis.

Aim: Cutaneous adverse events (CAEs) after treatment with BRAF and MEK inhibitors in patients with melanoma remain incompletely characterized. To determine the association of BRAF and MEK inhibitor treatment with CAEs in patients with melanoma compared with BRAF inhibitor alone.

Method: PubMed, Cochrane, Embase and Web of Science were systematically searched for BRAF and MEK inhibitors from database inception through 10 May 2024.

π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing.

Peptide sequencing via tandem mass spectrometry (MS/MS) is essential in proteomics. Unlike traditional database searches, deep learning excels at de novo peptide sequencing, even for peptides missing from existing databases. Current deep learning models often rely on autoregressive generation, which suffers from error accumulation and slow inference speeds.

Medical Education Reform in China in the 21st Century: A Literature Review.

Facing resource shortages and increasing gaps between regions and populations during the 20th century, around the 70s, the Chinese government authorized local governments to independently operate their own medical system, including medical education, to provide basic medical services and meet healthcare needs. These multiple independent but unparallel medical education systems throughout the nation inevitably created education quality disparities. Around the beginning of the 21st century, the Chinese government started a medical education standardization reform.

scMoMtF: An interpretable multitask learning framework for single-cell multi-omics data analysis.

With the rapidly development of biotechnology, it is now possible to obtain single-cell multi-omics data in the same cell. However, how to integrate and analyze these single-cell multi-omics data remains a great challenge. Herein, we introduce an interpretable multitask framework (scMoMtF) for comprehensively analyzing single-cell multi-omics data.

All Roads Lead to Rome: Pathways to Engineering Disease Resistance in Plants.

Unlike animals, plants are unable to move and lack specialized immune cells and circulating antibodies. As a result, they are always threatened by a large number of microbial pathogens and harmful pests that can significantly reduce crop yield worldwide. Therefore, the development of new strategies to control them is essential to mitigate the increasing risk of crops lost to plant diseases.

Prediction of mucinous adenocarcinoma in colorectal cancer with mucinous components detected in preoperative biopsy diagnosis.

Objectives: Endoscopic biopsy diagnosis for the preoperative assessment of mucinous components in patients with colorectal cancer is limited. This study investigated a radiomics model and established an explainable prediction model by using machine learning to differentiate between adenocarcinoma with mucinous components and mucinous adenocarcinoma.

Methods: The derivation cohort included 312 patients with colorectal cancer with mucinous components detected during preoperative endoscopic biopsy diagnosis.

Comprehensive Advancements in Hydrogel, and Its Application in Microalgae Cultivation and Wastewater Treatment.

Microalgae are recognized as a sustainable resource to produce biofertilizers, biofuels, and pigments, with the added benefits of environmental sustainability, such as carbon sequestration and pollutant removal. However, traditional cultivation methods face challenges like low biomass productivity and high operational costs. This review focuses on the innovative use of hydrogels as a medium for microalgae cultivation, which addresses these challenges by enhancing nutrient permeability, light distribution, and overall growth efficiency.

Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning.

Accurate detection of asphalt pavement distress is crucial for road maintenance and traffic safety. However, traditional convolutional neural networks usually struggle with this task due to the varied distress patterns and complex background in the images. To enhance the accuracy of asphalt pavement distress identification across various scenarios, this paper introduces an improved model named SMG-YOLOv8, based on the YOLOv8s framework.

Harnessing microalgae for metal nanoparticles biogenesis using heavy metal ions from wastewater as a metal precursor: A review.

Heavy metal contamination of water sources has long been a silent yet potent threat, endangering environmental and human health. Conventional wastewater treatments are costly due to high infrastructure expenses, energy consumption, and chemical usage. These treatments lead to secondary environmental pollution, such as producing toxic sludge, greenhouse gaseous emissions, and residual pollutants discharges.

Senescent CD8+ T cells: a novel risk factor in atrial fibrillation.

Aims: Immune cell alterations may play a role in the development of atrial fibrillation (AF). Our objective was to comprehensively characterize immune cells in AF, and investigate the potential mechanisms.

Methods And Results: Single-cell RNA sequencing and multicolor flow cytometry revealed that T cells constituted the most significant subset alterations in AF, and senescent CD8+ T cells were AF-associated subset.

Effect of Frail Phenotype on Cardiorenal Risk and Healthcare Utilization in Older Patients with Chronic Kidney Disease.

Introduction: Limited data have addressed frailty's role in cardiorenal risk among older adult patients with chronic kidney disease (CKD). We investigated whether frailty could predict major renal and cardiovascular events, healthcare utilization, and mortality in these patients.

Methods: We conducted a prospective cohort enrolling patients aged ≥75 years with a stable estimated glomerular filtration rate (eGFR) <60 mL/min/1.

Microfluidic synthesis and accurate immobilization of low-density QD-encoded magnetic microbeads for multiplex immunoassay.

Magnetic-fluorescent microbeads have been widely used in the multiplex detection of biological molecules. The traditional method relies on flow cytometry to decode and analyze the microbeads. Alternative strategies that employ immobilized microbeads on a plane and involve fluorescence imaging to analyze the microbeads have been proposed.

Cooperative Jamming-Based Physical-Layer Group Secret and Private Key Generation.

This paper explores physical layer group key generation in wireless relay networks with a star topology. In this setup, the relay node plays the role of either a trusted or untrusted central node, while one legitimate node (Alice) acts as the reference node. The channel between the relay and Alice serves as the reference channel.

A Preliminary Analysis of Circulating Tumor Microemboli from Breast Cancer Patients during Follow-Up Visits.

Background: Most breast cancer-related deaths are caused by distant metastases and drug resistance. It is important to find appropriate biomarkers to monitor the disease and to predict patient responses after treatment early and accurately. Many studies have found that clustered circulating tumor cells, with more correlations with metastatic cancer and poor survival of patients than individual ones, are promising biomarkers.

Spermidine metabolism regulates leukemia stem and progenitor cell function through KAT7 expression in patient-derived mouse models.

Acute myeloid leukemia (AML) is a devastating disease initiated and maintained by a rare subset of cells called leukemia stem cells (LSCs). LSCs are responsible for driving disease relapse, making the development of new therapeutic strategies to target LSCs urgently needed. The use of mass spectrometry-based metabolomics profiling has enabled the discovery of unique and targetable metabolic properties in LSCs.