Obstetrics & Gynecology

Darwinian Nanomedicine: Artificial Intelligence-Driven Evolutionary Drug Delivery for Adaptive and Precision Therapeutics.

OBJECTIVE: This review presents Darwinian nanomedicine as an artificial intelligence (AI)-enabled drug delivery strategy that applies Darwinian evolutionary principles as a computational and engineering analogy. Rather than implying biological evolution of nanoparticles, the framework employs iterative cycles of variation, selection, adaptation, and computational inheritance to optimize nanopartic...

The daily dynamics of algorithmic pressure and traffic safety in gig delivery: a multilevel mediation model of risky riding.

The rapid expansion of on-demand food delivery has brought algorithmic management, the use of artificial intelligence to oversee labor processes, into everyday working life. The same system that maximizes operational efficiency may also place substantial psychosocial burdens on riders. This study examines the daily dynamics linking algorithmic performance pressure, risky riding behaviors, and near...

Engineering extracellular vesicles for targeted siRNA delivery: Advances, therapeutic applications, and clinical translation.

Small interfering RNA (siRNA) therapeutics have emerged as a transformative approach for sequence-specific gene silencing, offering the potential to t...

Emerging Trends in the Integration of Nanotechnology and 3D Printing for Next-Generation Drug Delivery Systems.

OBJECTIVE: To provide a comprehensive overview of three-dimensional (3D) printing as an emerging manufacturing approach in pharmaceutical and biomedic...

A chemoresistance-associated proliferation gene signature identified by single-cell and machine learning analysis predicts prognosis in high-grade serous ovarian carcinoma.

BACKGROUND: High-grade serous ovarian carcinoma (HGSOC) features extensive intratumoral heterogeneity, frequent chemoresistance and poor prognosis. Tu...

Image-aware mixture of experts automates the detection of ovarian follicle rupture in a high-throughput ex vivo ovulation assay.

Systematic review of mental or behavioral health care in integrated specialty medical care settings.

INTRODUCTION: Although the integration of mental health services is widely accepted as important in primary care, the benefits for specialty medical c...

Applying an AI Decision Support Device During Cervical Cancer Screening in Bangladesh and Uganda: Implementation Study.

BACKGROUND: Screening is important for early detection of cervical cancer in low- and middle-income countries. Visual inspection with acetic acid (VIA...

Explainable ensemble machine learning for pregnancy screening in dairy cows using routine dairy herd improvement records.

Early identification of non-pregnant dairy cows is important for minimizing days open, yet current pregnancy diagnosis methods require additional cost...

Quantitative morphometry of the cervix using deep learning and geometric area estimation techniques.

OBJECTIVE: Estimation of the actual cervix area observed during the colposcopy is a critical step towards accurate diagnosis, as hidden areas may lead...

Artificial intelligence and big data from digital health applications: publication trends and analysis.

PURPOSE: The integration of big data with artificial intelligence in the field of digital health has brought a new dimension to healthcare service del...

Assessing digital health curriculum needs: a mixed-methods study of student and faculty perspectives in a Singapore medical school.

BACKGROUND: The rapid advancement of digital technologies has transformed healthcare delivery, creating an imperative for medical education to integra...

Integrated multi-omics analyses identify an RAS-SLC11A2-associated molecular framework linking iron metabolism with PCOS-related cardiometabolic risk.

INTRODUCTION: PCOS is a common endocrine disorder with elevated cardiometabolic risk, yet the role of the renin-angiotensin system (RAS)-iron metaboli...

Insights into the use of artificial intelligence in the drug discovery and delivery of nanosystems for the treatment of infectious diseases and neoplasms.

Artificial Intelligence (AI) has become a fundamental driver of scientific progress, particularly in disease diagnosis, drug development, and drug del...

Small Extracellular Vesicle and Total Lipid Profiles Provide a Diagnostic Advantage Over CA-125 Across Ovarian Cancer Subtypes.

Ovarian cancer remains the most lethal gynaecological malignancy, largely due to late-stage diagnosis and the limited sensitivity of CA-125 for border...

Diagnostic performance of artificial intelligence models trained on scattered single-cell images is not preserved for hyperchromatic crowded cell groups in cervical cytology.

BACKGROUND: Deep learning has shown promising performance in cervical cytology; however, many studies have relied on presegmented single-cell images r...

Artificial intelligence as a clinical capability enhancer in minimally invasive gynecologic surgery.

Evaluating the Accuracy, Empathy, and Readability of Generative AI Versus Registered Nurses in Discharge Planning: A Vignette-Based Study.

AIM: To compare the multidimensional performance of discharge instructions generated by generative AI (GPT-4) versus those created by clinical registe...

Transient Elevation and Subsequent Normalization of Brain Age Gap During the Postpartum Period.

The postpartum period involves substantial brain changes, but whether these represent pathological aging or adaptive plasticity remains unclear. We ap...

Elevated pro-BNP and low-grade inflammation are associated with low bone mineral density in systemic sclerosis, a case control study.

BACKGROUND: Bone mineral density (BMD) is compromised in patients with systemic sclerosis (SSc) compared to the background population, yet the underly...