Imaging-based prediction of early recurrence and neoadjuvant therapy outcomes for resectable beyond Milan HCC.

Purpose: To develop and validate an MRI-based model for predicting postoperative early (≤2 years) recurrence-free survival (RFS) in patients receiving upfront surgical resection (SR) for beyond Milan hepatocellular carcinoma (HCC) and to assess the model's performance in separate patients receiving neoadjuvant therapy for similar-stage tumors.

Method: This single-center retrospective study included consecutive patients with resectable BCLC A/B beyond Milan HCC undergoing upfront SR or neoadjuvant therapy. All images were independently evaluated by three blinded radiologists.

Explainable machine learning model for assessing health status in patients with comorbid coronary heart disease and depression: Development and validation study.

Background: Coronary heart disease (CHD) and depression frequently co-occur, significantly impacting patient outcomes. However, comprehensive health status assessment tools for this complex population are lacking. This study aimed to develop and validate an explainable machine learning model to evaluate overall health status in patients with comorbid CHD and depression.

Models for pure tone audiometry enabling computational evaluation: Introduction to Japanese extensive experiences.

Pure tone audiometry including "masking" is the most basic test in audiological medicine. Masking is based on theoretical models of sound perception and propagation and has been widely discussed since the 1950s. In Japan, such discussion has been conducted extensively, starting from early periods up to recent times, with success to enable mathematical simulation, but the achievements have little been disclosed to the English-speaking world.

Cell-Instructive Biomaterials with Native-Like Biochemical Complexity.

Biochemical signals in native tissue microenvironments instruct cell behavior during many biological processes ranging from developmental morphogenesis and tissue regeneration to tumor metastasis and disease progression. The detection and characterization of these signals using spatial and highly resolved quantitative methods have revealed their existence as matricellular proteins in the matrisome, some of which are bound to the extracellular matrix while others are freely diffusing. Including these biochemical signals in engineered biomaterials can impart enhanced functionality and native-like complexity, ultimately benefiting efforts to understand, model, and treat various diseases.

Influence of Enterocytozoon bieneusi Infection on Child Growth: A Secondary Analysis of the MAL-ED Birth Cohort Study.

Malnutrition in the early days of life is a global public health concern that affects children's growth. It results from a variety of factors, including pathogenic infections. Enterocytozoon bieneusi is a microsporidian parasite that can cause diarrhea and malnutrition in children.

Health-related quality of life across menopausal stages among middle-aged Korean women.

Objectives: We examined the health-related quality of life (HRQoL) during menopause transition (MT) among middle-aged Korean women.

Methods: This cross-sectional study comprised 2,290 middle-aged women who completed web-based questionnaires between 2020 and 2022. Based on self-reported menstrual cycle patterns, menopause status was classified as premenopausal, early or late transition, or postmenopausal.

Multiplex Detection and Quantification of Virus Co-Infections Using Label-free Surface-Enhanced Raman Spectroscopy and Deep Learning Algorithms.

Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making their identification crucial for diagnosis, treatment, and disease management. We present a label-free diagnostic platform integrating surface-enhanced Raman scattering (SERS) with deep learning for rapid, quantitative detection of respiratory virus coinfections. Using sensitive silica-coated silver nanorod array substrates, over 1.

The dose-response relationship between noise-induced hearing loss and cumulative noise exposure adjusted by the effect of hearing protection devices among workers in Southern China.

The noise exposure levels of workers wearing hearing protective devices (HPDs) depend on ambient noise and the protective effect of hearing protectors. This cross-sectional study aimed to adjust for cumulative noise exposure (CNE) based on the effective protection of hearing protection devices and explore the dose-response relationship between noise-induced hearing loss (NIHL) and adjusted cumulative noise exposure. A questionnaire was used to acquire the basic characteristics and occupational information of noise-exposed workers.

Mindfulness Intervention for Health Information Avoidance in Older Adults: Mixed Methods Study.

Background: The global aging population and rapid development of digital technology have made health management among older adults an urgent public health issue. The complexity of online health information often leads to psychological challenges, such as cyberchondria, exacerbating health information avoidance behaviors. These behaviors hinder effective health management; yet, little research examines their mechanisms or intervention strategies.

The Clinicians' Guide to Large Language Models: A General Perspective With a Focus on Hallucinations.

Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. Considering the incredible potential of LLMs in medicine and the interest of many health care stakeholders for implementation into routine practice, it is therefore essential that clinicians be aware of the basic risks associated with the use of these models. Namely, a significant risk associated with the use of LLMs is their potential to create hallucinations.

Use of Augmented Reality for Training Assistance in Laparoscopic Surgery: Scoping Literature Review.

Background: Laparoscopic surgery training is a demanding process requiring technical and nontechnical skills. Surgical training has evolved from traditional approaches to the use of immersive digital technologies such as virtual, augmented, and mixed reality. These technologies are now integral to laparoscopic surgery training.

The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets.

Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.

Quality of Information in Carpal Tunnel Syndrome: Social Media Platforms Versus Large Language Models.

Introduction: Carpal tunnel syndrome (CTS) is the most common peripheral nerve entrapment disease, and it is a subject of great interest and concern to medical professionals and the general public. Our study aims to analyze and compare the quality and accuracy of the information related to CTS provided by social media platforms (SMPs) and the new large language models (LLM).

Methods: On YouTube, the first 20 videos in English and the first 20 videos in Spanish when searching for "carpal tunnel syndrome" and "síndrome túnel carpo" were selected.

Geriatric Syndromes in Older Adults With and Without Diabetes: A Systematic Review and Meta-Analysis.

Purpose: Diabetes prevalence is increasing among older adults globally. The current study aimed to compare geriatric syndrome prevalence in older adults with and without diabetes.

Method: Primary research (2011 to 2024) in English, French, or Spanish was included.

Status Quo of Mental Health and Influencing Factors Among Older Adults in Different Living Situations: A Random Forest Analysis Based on CHARLS Data.

Purpose: To determine the status of depression and its key influencing factors among Chinese older adults in different living situations.

Method: Data of 7,092 older adults were obtained from the China Health and Retirement Longitudinal Survey. This study analyzed key variables influencing depressive symptoms using random forest modeling and logistic regression.

Convening Hispanic/Latino Caregiving Advisors for Inclusive Research in Dementia Palliative Care.

Dementia clinical trials often fail to include diverse and historically minoritized groups. We sought to adapt the Alzheimer's Disease and Related Dementias-Palliative Care (ADRD-PC) clinical trial to improve enrollment and address the cultural needs of people with late-stage ADRD who identify as Hispanic or Latino and their family caregivers. Bilingual, bicultural research team members adapted study materials and processes using the Cultural Adaptation Process Model.

Boosting Natural Killer Cells' Immunotherapy with Amoxicillin-Loaded Liposomes.

Natural killer (NK) cell immunotherapy is a significant category in tumor therapy due to its potent tumor-killing and immunomodulatory effects. This research delves into exploring the mechanisms underlying the ability of amoxicillin to boost NK cell cytotoxicity in NK cell immunotherapy. Amoxicillin significantly enhances the cytotoxic activity of NK-92MI cells against MCF-7 cells by triggering the initiation of a cytolytic program in target cell-deficient NK-92MI cells and augmenting the degranulation level of NK-92MI cells in the presence of target cells.

DO-GMA: An End-to-End Drug-Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism.

Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.

Examining the Biophysical Properties of the Inner Membrane of Gram-Negative ESKAPE Pathogens.

The World Health Organization has identified multidrug-resistant bacteria as a serious global health threat. Gram-negative bacteria are particularly prone to antibiotic resistance, and their high rate of antibiotic resistance has been suggested to be related to the complex structure of their cell membrane. The outer membrane of Gram-negative bacteria contains lipopolysaccharides that protect the bacteria against threats such as antibiotics, while the inner membrane houses 20-30% of the bacterial cellular proteins.

Field-Testing Measures Related to Youth Baseball Hitting Performance.

Bordelon, NM, Agee, TW, Wasserberger, KW, Downs-Talmage, JL, Everhart, KM, and Oliver, GD. Field-testing measures related to youth baseball hitting performance. J Strength Cond Res 39(2): 210-216, 2025-The purpose of the study was to determine the relationship between field tests and youth hitting performance (batted-ball velocity).

The biomechanical implications of lacunar and perilacunar microarchitecture on microdamage accumulation in cortical bone.

: This study aimed to explore how the microarchitectural features of lacunae and perilacunar zones impact the biomechanics of microdamage accumulation in cortical bone, crucial for understanding bone disorders' pathogenesis and developing preventive measures. : Utilizing the phase field finite element method, the study analyzed three bone unit models with varying microarchitecture: one without lacunae, one with lacunae and one including perilacunar zones, to assess their effects on cortical bone's biomechanical properties. : The presence of lacunae was found to increase microcrack initiation risk, acting as nucleation points and accelerating microcrack propagation.

Hemodynamic analysis of left ventricular unloading with Impella versus IABP during VA-ECMO.

: The utilization of intra-aortic balloon pump (IABP) and Impella has been suggested as means of left ventricular unloading in veno-arterial extracorporeal membrane oxygenation (VA-ECMO) patients. This study aimed to assess the local hemodynamic alterations in VA-ECMO patients through simulation analyses. : In this study, a 0D-3D multiscale model was developed, wherein resistance conditions were employed to define the flow-pressure relationship.

Investigation of the mechanical characteristics of porcine brain tissue in complex environments.

: Brain tissue immersed in cerebrospinal fluid often exhibits complex mechanical behaviour, especially the nonlinear stress- strain and rate-dependent responses. Despite extensive research into its material properties, the impact of solution environments on the mechanical behaviour of brain tissue remains limited. This knowledge gap affects the biofidelity of head modelling.

The impact of running experience and shoe longitudinal bending stiffness on lower extremity biomechanics: a cross-sectional study.

: The impact of shoe stiffness on running biomechanics is well-documented, while the specific effect on the performance of biomechanically distinct groups such as novice runners and experienced runners is still largely unexplored. The study aimed to evaluate the biomechanical effect of different shoe longitudinal bending stiffness on the lower limb during running in novice runners and experienced runners. : Twelve experienced runners and ten novice runners ran at a speed of 4.