A novel image segmentation network with multi-scale and flow-guided attention for early screening of vaginal intraepithelial neoplasia (VAIN).

Background: Vaginal intraepithelial neoplasia (VAIN) is a rare precancerous lesion, and early diagnosis is crucial for preventing its progression to invasive vaginal cancer. However, the subtle differences in morphology and color between VAIN lesions and normal vaginal tissue make the automatic segmentation of VAIN highly challenging. Existing methods struggle to achieve precise segmentation, impacting the efficiency of early screening.

Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats.

Hair follicle development and cycling are governed by intricate genetic and molecular networks, with microRNAs (miRNAs) playing essential roles as post-transcriptional regulators. In cashmere goats, valued for their fine fiber, miRNAs have emerged as key modulators influencing hair follicle morphogenesis, regeneration, and fiber traits such as fineness and pigmentation. This review highlights recent discoveries in miRNA-mediated regulation of hair follicles, focusing on their dynamic expression patterns and cell-specific functions in keratinocytes, dermal papilla cells, and follicular stem cells.

Effect of sterically hindered amines on the cycling capacity of biphasic absorbents for industrial CO capture.

The biphasic solvent is a promising solution to reduce regeneration energy consumption in CO capture. However, most current biphasic solvents suffer from high viscosity and poor desorption of the rich phase. To the issues, a novel pentamethyldiethylenetriamine (PMDETA)-2-amino-2-methyl-1-propanol (AMP)/diethylenetriamine (DETA)-sulfolane biphasic solvent was developed.

A comprehensive model combining radiomics and risk factors for predicting massive hemorrhage in cesarean scar pregnancy during dilatation and curettage.

Background: To develop a comprehensive model integrating MRI radiomics signatures and independent risk factors for predicting the risk of massive bleeding during dilatation and curettage(D&C) in patients with cesarean scar pregnancy (CSP).

Methods: CSP patients who underwent D&C were retrospectively reviewed. Intraoperative massive bleeding was defined as bleeding exceeding 200 ml based on surgical records.

Association Between Hemodynamic Monitoring Need and Prognosis of Patients with Sepsis in the Intensive Care Unit.

Sepsis, a life-threatening disease characterized by organ dysfunction, is primarily caused by an abnormally regulated host response to infection. This study aimed to evaluate the association between hemodynamic monitoring (HM) and the prognosis of patients with sepsis in the intensive care unit (ICU). This retrospective analysis used data from the MIMIC-IV database (2008-2019) at a tertiary medical center in Boston, focusing on adult patients with sepsis.

Effects of different positive end-expiratory pressure strategies on treating overweight patients with acute respiratory distress syndrome: A retrospective study based on large intensive care unit databases.

Purpose: Positive end-expiratory pressure (PEEP) refers to a vital respiratory therapeutic tool for treating ARDS. Since overweight individuals face a greater risk of pulmonary complications than others, this study aims to assess whether different PEEP strategies result in differential therapeutic outcomes for ARDS patients with varying body mass index (BMI) categories.

Materials And Methods: This study involved a retrospective analysis of adult patients diagnosed with ARDS according to the Berlin definition, sourced from the Medical Information Marketplace for Intensive Care IV database.

Clinical investigation of fertility after uterine artery embolization combined with dilation and curettage(D&C) or D&C alone for cesarean scar pregnancies.

Objective: The aim of this study was to compare the reproductive outcomes of patients with cesarean scar pregnancies (CSP) following uterine artery embolization (UAE) and dilation and curettage (D&C) treatments, and to evaluate the impact of UAE on fertility.

Materials: and methods: A retrospective case-control study was conducted. Patients diagnosed with CSP between 2019 and 2021 were included in the study.

Glycemic Comparison Index (GCI): a retrospective analysis of its prognostic value in ICU patients with AMI and diabetes.

Background: Acute myocardial infarction (AMI) has a significant impact on global health, especially among individuals with diabetes, emphasizing the need for specialized glycemic management. This study examines the glycemic comparison index (GCI), a novel prognostic tool designed for patients with AMI and diabetes, aiming to enhance glucose management in critical care settings.

Methods: This retrospective cohort analysis used data from the Medical Information Mart for Intensive Care IV database (version 2.

Herbal formula alleviates heat stress by improving physiological and biochemical attributes and modulating the rumen microbiome in dairy cows.

Heat stress significantly impacts dairy cow productivity, health, and welfare. This study evaluated a self-developed herbal formula as a dietary intervention to mitigate heat stress. A total of 198 lactating cows were divided into two groups: a Control group receiving standard total mixed rations and a Herbs group supplemented with herbal formula for 60 days.

Machine learning-based non-invasive continuous dynamic monitoring of human core temperature with wearable dual temperature sensors.

Due to the growing demand for personal health monitoring in extreme environments, continuous monitoring of core temperature has become increasingly important. Traditional monitoring methods, such as mercury thermometers and infrared thermometers, may have limitations in tracking real-time fluctuations in core temperature, especially in special application scenarios such as firefighting, military, and aerospace. This study aims to develop a non-invasive, continuous core temperature prediction model based on machine learning, addressing the limitations of traditional methods in extreme environments.

The value of MRI in differentiating ovarian clear cell carcinoma from other adnexal masses with O-RADS MRI scores of 4-5.

Objective: To assess the utility of clinical and MRI features in distinguishing ovarian clear cell carcinoma (CCC) from adnexal masses with ovarian-adnexal reporting and data system (O-RADS) MRI scores of 4-5.

Methods: This retrospective study included 850 patients with indeterminate adnexal masses on ultrasound. Two radiologists evaluated all preoperative MRIs using the O-RADS MRI risk stratification system.

A Dual-Branch Residual Network with Attention Mechanisms for Enhanced Classification of Vaginal Lesions in Colposcopic Images.

Vaginal intraepithelial neoplasia (VAIN), linked to HPV infection, is a condition that is often overlooked during colposcopy, especially in the vaginal vault area, as clinicians tend to focus more on cervical lesions. This oversight can lead to missed or delayed diagnosis and treatment for patients with VAIN. Timely and accurate classification of VAIN plays a crucial role in the evaluation of vaginal lesions and the formulation of effective diagnostic approaches.

The deep learning radiomics nomogram helps to evaluate the lymph node status in cervical adenocarcinoma/adenosquamous carcinoma.

Objectives: The accurate assessment of lymph node metastasis (LNM) can facilitate clinical decision-making on radiotherapy or radical hysterectomy (RH) in cervical adenocarcinoma (AC)/adenosquamous carcinoma (ASC). This study aims to develop a deep learning radiomics nomogram (DLRN) to preoperatively evaluate LNM in cervical AC/ASC.

Materials And Methods: A total of 652 patients from a multicenter were enrolled and randomly allocated into primary, internal, and external validation cohorts.

Computational insights into potent USP5 inhibitors based on multistep virtual screening and molecular dynamics simulation.

USP5 is widely distributed in various malignant tumors and can regulate the stability and promoting tumor progression of many tumor-related proteins. However, there is still a lack of highly active USP5 inhibitors. Therefore, effective inhibitors were screened in the TCMIO database in this study.

Machine learning accelerates the discovery of epitope-based dual-bioactive peptides against skin infections.

Objectives: Skin injuries and infections are an inevitable part of daily human life, particularly with chronic wounds, becoming an increasing socioeconomic burden. In treating skin infections and promoting wound healing, bioactive peptides may hold significant potential, particularly those possessing antimicrobial and anti-inflammatory properties. However, obtaining these peptides solely through traditional wet laboratory experiments is costly and time-consuming, and peptides identified by current computer-assisted predictive models largely lack validation of their effects via wet laboratory experiments.

Association between intra-arterial catheterization and mortality of acute heart failure patients without shock in ICU: A retrospective study.

Background: Acute heart failure necessitates intensive care, and arterial catheterization is a commonly performed invasive procedure in the intensive care unit (ICU). We aimed to investigate the association between arterial catheterization and outcomes in acute heart failure patients without shock.

Methods: We utilized MIMIC-IV database records for acute heart failure patients at Beth Israel Deaconess Medical Center from 2008 to 2019.

Intrauterine chilled saline instillation reduces endometrial impairment on MRI after ultrasound-guided percutaneous microwave ablation of uterine adenomyosis.

Objective: To investigate whether intrauterine chilled saline can reduce endometrial impairment during US-guided percutaneous microwave ablation (PMWA) of adenomyosis.

Methods: An open-label, randomized trial was conducted with sixty symptomatic adenomyosis patients who were randomly assigned (1:1) to receive PMWA treatment assisted by intrauterine saline instillation (study group) or traditional PMWA treatment alone (control group). The primary endpoint was endometrial perfusion impairment grade on post-ablation contrast-enhanced MRI.

Prediction of Ablation Rate for High-Intensity Focused Ultrasound Therapy of Adenomyosis in MR Images Based on Multi-model Fusion.

This study aimed to develop a model based on radiomics and deep learning features to predict the ablation rate in patients with adenomyosis undergoing high-intensity focused ultrasound (HIFU) therapy. A total of 119 patients with adenomyosis who received HIFU therapy were retrospectively analyzed. Participants were included in the training and testing queues in a 7:3 ratio.

Source analysis and health risk assessment of polycyclic aromatic hydrocarbon (PAHs) in total suspended particulate matter (TSP) from Bengbu, China.

The polycyclic aromatic hydrocarbon (PAH) concentrations in total suspended particulate matter (TSP) samples collected from October, 2021 to September, 2022 were analyzed to clarify the pollution characteristics and sources of 16 PAHs in the atmospheric TSP in Bengbu City. The ρ(PAHs) concentrations ranged from 1.71 to 43.

MRI Plain Scan: A Tool in the Management of Cervical Cancer during Pregnancy.

Objective: The purpose of this study was to assess the diagnostic value of magnetic resonance imaging (MRI) in staging and treatment of cervical cancer in pregnancy, and to evaluate the benefit of apparent diffusion coefficient (ADC) during neoadjuvant chemotherapy management.

Materials And Methods: This was a retrospective cohort study. Patients were divided into two groups according to the stage of cervical cancer.

Multitask prediction models for serous ovarian cancer by preoperative CT image assessments based on radiomics.

Objective: High-grade serous ovarian cancer (HGSOC) has the highest mortality rate among female reproductive system tumors. Accurate preoperative assessment is crucial for treatment planning. This study aims to develop multitask prediction models for HGSOC using radiomics analysis based on preoperative CT images.