Covalent Inhibitor Screening for Targeting LOXL2: Studied by Virtual Screening and Experimental Validation.

Background: Lysyl oxidase-like 2 (LOXL2) is a metalloenzyme that catalyzes oxidative deamination ε-amino group of lysine. It has been found that LOXL2 is a promotor for the metastasis and invasion in kinds of tumors. Previous studies show that disulfide bonds are important components in LOXL2, and their bioactivity can be regulated by those bonds.

Explainable artificial intelligence for stroke prediction through comparison of deep learning and machine learning models.

Failure to predict stroke promptly may lead to delayed treatment, causing severe consequences like permanent neurological damage or death. Early detection using deep learning (DL) and machine learning (ML) models can enhance patient outcomes and mitigate the long-term effects of strokes. The aim of this study is to compare these models, exploring their efficacy in predicting stroke.

Evaluation of mobile applications related to patients with Parkinson's disease based on their essential features and capabilities.

Background: Parkinson's disease (PD) is a neurodegenerative disorder that affects millions of people worldwide. Mobile technologies enable Parkinson's patients to improve their quality of life, manage symptoms, and enhance overall well-being through various applications (apps). There is no integrated list of specific capabilities available to cater to the unique needs of Parkinson's patient-focused mobile apps.

Immune-based Machine learning Prediction of Diagnosis and Illness State in schizophrenia and bipolar Disorder: How data bias and overfitting were avoided.

In a letter critiquing our manuscript, Takefuji highlights general pitfalls in machine learning, without directly engaging with our study. The comments provide generic advice rather than a specific critique of our methods or findings. Despite raising important topics, the concerns reflect standard risks in machine learning, which we were aware of and explicitly addressed in our analyses.

Applying Large Language Models to Assess Quality of Care: Monitoring ADHD Medication Side Effects.

Objective: To assess the accuracy of a large language model (LLM) in measuring clinician adherence to practice guidelines for monitoring side effects after prescribing medications for children with attention-deficit/hyperactivity disorder (ADHD).

Methods: Retrospective population-based cohort study of electronic health records. Cohort included children aged 6 to 11 years with ADHD diagnosis and 2 or more ADHD medication encounters (stimulants or nonstimulants prescribed) between 2015 and 2022 in a community-based primary health care network (n = 1201).

The Effect of Job Skills and Job Burnout on Job Satisfaction Among Health Information Management Staff.

Background And Aims: The health information management department faces multiple challenges such as multiple tasks, high workload, role ambiguity and conflict, and work pressure. In addition, informatics and health information technology tools are continuously used in this sector. Based on studies, the use of information technology affects job burnout and job satisfaction.

The psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in persian language.

Introduction: mHealth apps are widely utilized in healthcare. To guarantee their usefulness and usability, it is crucial to assess them using a reliable scale tailored specifically for mHealth apps and their users.

Objective: The aim of this study is the psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in Persian language.

Exploring the Allosteric Response of Fascin to Its Inhibitor.

Fascin is a major actin-binding protein (ABP) for stabilizing filopodia to support efficient adhesion and migration of cancer cells. Fascin is also highly expressed in metastatic tumors. Disrupting the actin-binding site (ABS) on fascin constitutes a critical approach to hindering tumor metastasis.

Effectiveness of computer-based telerehabilitation software (RehaCom) compared to other treatments for patients with cognitive impairments: A systematic review.

Background: The rehabilitation process for cognitive disorders is long and complex, which can lead to reduced rehabilitation outcomes and reduced quality improvement. Thus, there is a need to use new methods to boost conventional rehabilitation (e.g.

Suppressive Effects of Geoje Raspberry ( Nakai ex J.Y. Yang) on Post-Menopausal Osteoporosis via Its Osteogenic Activity on Osteoblast Differentiation.

Background: Osteoporosis is a metabolic bone disease with a high mortality rate due to non-traumatic fractures. The risk of osteoporosis is increasing globally due to an increasing aging population. Current therapies are limited to delaying disease progression.

Literature Searches in Medical Informatics Systematic Reviews: Suggested Approaches.

This study explores database selection for systematic reviews in medical informatics, addressing challenges researchers face in maximizing relevant article retrieval. Systematic reviews from top medical informatics journals in 2021 were analyzed, divided into randomized control trials and non-randomized control trials groups. Four databases were evaluated based on Recall, Precision, and Unique references.

Predicting stroke severity of patients using interpretable machine learning algorithms.

Background: Stroke is a significant global health concern, ranking as the second leading cause of death and placing a substantial financial burden on healthcare systems, particularly in low- and middle-income countries. Timely evaluation of stroke severity is crucial for predicting clinical outcomes, with standard assessment tools being the Rapid Arterial Occlusion Evaluation (RACE) and the National Institutes of Health Stroke Scale (NIHSS). This study aims to utilize Machine Learning (ML) algorithms to predict stroke severity using these two distinct scales.

Roseoside Is a Bioactive Compound in Nakai Extract with Potent In Vitro Antiviral Activity Against Hepatitis C Virus.

Hepatitis C virus (HCV) is a pathogen that causes cirrhosis and hepatocellular carcinoma through chronic hepatitis C. This study focused on the anti-HCV activity of a 70% ethanol extract of Nakai (KKE) and its bioactive chemical constituent(s). The KKE and its -butanol (-BuOH) fraction induced a significant reduction in HCV RNA levels without inducing cytotoxicity.

Massively Parallel Screening of Toll/Interleukin-1 Receptor (TIR)-Derived Peptides Reveals Multiple Toll-Like Receptors (TLRs)-Targeting Immunomodulatory Peptides.

Toll-like receptors (TLRs) are critical regulators of the immune system, and altered TLR responses lead to a variety of inflammatory diseases. Interference of intracellular TLR signaling, which is mediated by multiple Toll/interleukin-1 receptor (TIR) domains on all TLRs and TLR adapters, is an effective therapeutic strategy against immune dysregulation. Peptides that inhibit TIR-TIR interactions by fragmenting interface residues have potential as therapeutic decoys.

Direct Metal Transfer on Swellable Hydrogel with Dehydration-Induced Physical Adhesion.

Composites of hydrogels and metals are gaining interest because of each material's unique properties. However, the stable adhesion of metals on hydrogels is challenging due to the mechanical mismatch at the soft-hard interface and the liquidity of the water components in hydrogels. We propose a facile physical-adhesion method that involves the dehydration process of hydrogels to transfer metals from a glass substrate.

Phenolic Contents and Antioxidant Properties of , and , Used as Medicinal Plants in Chad.

The plants , and are well known in traditional African medicine, and particularly in traditional Chadian medicine. They are commonly used to treat infectious diseases, inflammatory diseases, fevers, gastroenteritis and other medical conditions. The aim of this study was to perform a phytochemical screening to determine the antioxidant properties of different extracts and fractions from the three plants.

Strengths, weaknesses, opportunities, and threats (SWOT) of the electronic prescribing systems executed in Iran from the physician's viewpoint: a qualitative study.

Background: Electronic prescribing (e-prescribing) is an essential technology in the modern health system. This technology has made many changes in the prescription process, which have advantages and disadvantages and have created opportunities for transforming the health system. This study aimed to investigate the strengths, weaknesses, opportunities, and threats of the e-prescribing system implemented in Iran from the physician's viewpoint.

Caffeic Acid Phenethyl Ester Administration Reduces Enterotoxigenic -Induced Colitis and Tumorigenesis.

The human colonic commensal enterotoxigenic (ETBF) is associated with chronic colitis and colon cancer. ETBF colonization induces colitis via the toxin (BFT). BFT secreted by ETBF cause colon inflammation via E-cadherin cleavage/NF-κB signaling.

Nucleic Acid Amplification Circuit-Based Hydrogel (NACH) Assay for One-Step Detection of Metastatic Gastric Cancer-Derived Exosomal miRNA.

Gastric cancer (GC) is recognized as the fifth most prevalent malignant tumor worldwide. It is characterized by diverse clinical symptoms, treatment responses, and prognoses. In GC prognosis, the promotion of epithelial-mesenchymal transition (EMT) fosters cancer cell invasion and metastasis, thereby triggering the dissemination of tumor cells.