Obstetrics & Gynecology

Precision Education: How Ready Are Obstetrics and Gynecology Clerkships for the Future of Medical Education?

OBJECTIVES: Precision education has been heralded as the future of medical education, yet substantial barriers to realizing this future exist. We sought to explore the current state of precision education in obstetrics and gynecology clerkship settings including barriers to adoption of this approach and strategies to support clinical educators interested in accelerating the advancement of precisio...

MicroRNAs as novel therapeutics against multidrug-resistant ESKAPE pathogens: mechanisms, challenges, and future directions.

BACKGROUND: Multidrug-resistant (MDR) ESKAPE pathogens, including Enterococcus faecium, S. aureus, Klebsiella pneumoniae, Acinetobacter baumannii, P. aeruginosa, and Enterobacter spp., pose a critical global health threat. OBJECTIVE: This narrative review evaluates microRNAs (miRNAs) as novel antibacterial agents against MDR ESKAPE, focusing on their mechanisms of action, preclinical efficacy, del...

tDCS synchronous robotic training on lower-limb with post-stroke hemiplegia: a comparative study between synchronous and sequential group.

BACKGROUND: This study was aimed to compare the effects of tDCS synchronized with robotic training(RT)and tDCS sequential followed by RT on lower-limb...

Precision Oncology via Radiotherapy-Triggered Drug Delivery: Mechanisms, Molecular Engineering, and Clinical Translation.

Radiotherapy-triggered drug delivery systems (RDDS) promise to integrate the spatial precision of ionizing radiation with controllable pharmacological...

Integrated Multi-Omics Analysis of Gut Microbiota-Associated Metabolites and Related Host Molecular Signatures in Cervical Squamous Cell Carcinoma.

Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) is a common female malignancy. Gut microbiota and metabolites are critical reg...

Radiolabeled drug-delivery and controlled-release nanocarriers for arthritis: Clinical evidence, kinetic modeling, radiation-safety challenges, and precision nanotheranostics.

BACKGROUND: Arthritis comprises a heterogeneous group of inflammatory and degenerative joint disorders characterized by distinct pathological mechanis...

Driving Drugs Deeper: Force-Driven Microneedle Systems for Active Therapy and Their Road Towards Clinical Implementation.

Transdermal delivery of macromolecules and biologics is constrained by the barrier function of skin. First-generation microneedle arrays address this ...

Ensuring pragmatic and equitable paths forward for hepatitis B virus infection eradication in Latin America.

INTRODUCTION: Latin America occupies a paradoxical position in hepatitis B virus (HBV) elimination: aggregate prevalence is low, yet the region remain...

Weighted Gene Co-Expression Network Analysis and Machine Learning Reveal that USP1 Drives Lipid Metabolism and Macrophage Polarization in Cervical Cancer Cells.

Cervical cancer is a leading preventable cause of cancer morbidity and mortality globally. Previous studies have indicated that dysregulation of the u...

Combining Statistical Modeling and Machine Learning for Prognostic Feature Selection in Cervical Cancer: A Retrospective Study Based on SEER 2004 to 2015 Data.

OBJECTIVES: Cervical cancer is a leading female malignancy with high global morbidity/mortality, and remains high recurrence risk after standard treat...

Left ventricular hypertrophy as a predictor of adverse maternal and neonatal outcomes in chronic hypertension in pregnancy: a multicenter study.

OBJECTIVE: The impact of chronic hypertension (CHTN) combined with left ventricular hypertrophy (LVH) on adverse maternal and fetal pregnancy outcomes...

Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer.

BACKGROUND: Ovarian cancer remains the deadliest gynecological malignancy, with neoadjuvant chemotherapy (NACT) often leaving residual fibroblast-enri...

A ciliated intravascular soft millirobot for multimodal in-flow collective manipulation.

The laminar nature of blood flow and the resulting boundary layer pose substantial challenges for transverse mass transport in blood vessels, limiting...

Concurrent validity and reliability of an artificial intelligence-assisted physiotherapy assessment system for maximal mouth opening, cervical, and shoulder range of motion in patients with oral cancer.

PURPOSE: Accurate assessment of joint range of motion (ROM) and maximal mouth opening (MMO) is essential in the rehabilitation of patients with oral c...

Intravoxel incoherent motion imaging with improved image quality by deep learning reconstruction for prediction of lymph-vascular space invasion in patients with cervical cancer.

PURPOSE: To evaluate the performance of intravoxel incoherent motion (IVIM) imaging with deep learning reconstruction (DLR) for prediction of lymph-va...

Information matters, but cues are dangerous: a comparative evaluation of three multimodal AI chatbots in oral and maxillofacial radiology.

OBJECTIVES: To compare the diagnostic performance of three multimodal AI chatbots on oral and maxillofacial radiographic images and to examine how add...

The Economic Imperative for an AI Productivity Index in Healthcare: Beyond Clinical Promise to Fiscal Accountability.

Artificial intelligence (AI) is increasingly embedded in healthcare delivery, yet its evaluation remains dominated by technical performance metrics th...

Engineering oral hydrogels for versatile drug delivery: core technologies, disease applications, and industrial translation.

Oral drug delivery is preferred for patient compliance, but it's challenging for biologics and sensitive therapeutics due to the harsh gastrointestina...

Overcoming Mechanical Blindness: Adaptive Surgical Instrument Design for the Heterogeneous Landscape of Uterine Fibroids.

Uterine fibroids pose a major global health burden, affecting approximately 120 million women worldwide. While minimally invasive surgeries, such as e...

Uncovering the determinants of high-risk age at childbirth in Bangladesh: A machine learning analysis of the BDHS 2022 data.

Childbirth occurring at high-risk maternal ages (≤18 years or ≥40 years) remains an important public health concern in Bangladesh and is influenced by...