Obstetrics & Gynecology

Adaptive intrathecal nanorobotics in mice and nonhuman primates for navigated CNS therapy.

Intrathecal delivery for central nervous system (CNS) therapy lacks spatiotemporal control due to spinal canal anatomical constraints, especially at human scale. We developed an adaptive magnetic nanorobotic platform enabling multimode swarm mobility for in vivo spinal canal navigation in mice and nonhuman primates. Programmable chain-like, vortex-like, and ribbon-like swarm were accomplished, and...

Fine-tuned machine learning models for the discovery of dye nanoparticles with enhanced lung delivery.

Drug delivery using self-assembling drug-excipient nanoparticles offers a scalable strategy to improve the solubility, bioavailability, and biodistribution of poorly soluble therapeutics. However, progress in the development and translation of these materials has been limited by the lack of safe excipients capable of stabilizing drug-rich nanoparticles that allow for extrahepatic delivery. Here, w...

Artificial Intelligence Based Ultrasound Screening for Antenatal Detection of Placenta Accreta Spectrum.

BACKGROUND: Placenta Accreta Spectrum is a leading cause of maternal morbidity and mortality and is increasing in incidence, yet only 30-50% of cases ...

Predicting Response to Radiotherapy in Locally Advanced Cervical Squamous Cell Carcinoma Based on Multisequence MRI and Clinical Variables.

RATIONALE AND OBJECTIVES: Locally advanced cervical cancer (LACC) remains a major cause of cancer-related mortality among women. We developed and test...

Effect of pilates exercises plus breastfeeding positioning adjustment on artificial intelligence-assessed craniovertebral angle in breastfeeding women with forward head posture: a randomized controlled trial.

Forward head posture (FHP), considered a neuromusculoskeletal disorder, includes those associated with breastfeeding. Pilates is recognized for improv...

The promise of deep urine proteomics for diagnosis of cancer, neurologic, and metabolic diseases.

INTRODUCTION: Urine offers a noninvasive and low-cost source of disease biomarkers, yet most proteomic studies have targeted single conditions. Using ...

Integrating structurally defined DNA-carbon nanotube sensors with machine learning for cancer detection.

Liquid biopsy is a promising, noninvasive approach for cancer detection, but current methods often trade off accuracy, operability, and cost. To addre...

Identification and importance analysis of osteoporosis risk factors in perimenopausal women based on the Transformer-LSTM hybrid model and SMOTE.

OBJECTIVE: This study aimed to identify the core risk factors for osteoporosis in perimenopausal women and propose an analytical framework based on th...

Radiolabeling of clinically approved nanomedicine carriers: lessons from albumin- and liposome-based systems for biomaterial design and translational imaging.

Radiolabeling is a powerful approach for investigating the in vivo behavior of nanomedicine carriers beyond conventional pharmacokinetic analysis. Thi...

An explainable machine learning approach for cervical cancer screening: decoding morphological diagnostic drivers.

BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...

Elevated Circulating AIF1L as a Cell-Free RNA Biomarker of Preeclampsia Impairs Trophoblast Function via Mitochondrial Dysregulation.

INTRODUCTION: Preeclampsia (PE) is a multifaceted pregnancy disorder marked by impaired trophoblast invasion and placental ischemia. Although common, ...

Multi-modal Stacking Machine Learning Model for Predicting Lymph Node Metastasis in Cervical Cancer.

RATIONALE AND OBJECTIVES: To develop and validate a multi-modal stacking machine learning model integrating intratumoral and peritumoral habitat radio...

CMB-Net: A Clinically Modulated Boundary-Aware Network for Anatomical Segmentation of the Cervical Transformation Zone in Colposcopy.

Colposcopy is an essential tool for cervical precancer evaluation and biopsy guidance. Most existing artificial intelligence (AI) tools for cervicogra...

Improving laboratory workforce efficiency using AI-assisted digital cytology within an HPV-based cervical screening programme: A model-based evaluation for the NHS Cervical Screening Programmes.

OBJECTIVES: We aimed to estimate the time required to review and report cervical cytology slides within a Human Papillomavirus (HPV)-primary cervical ...

Data-driven endocrine-metabolic phenotypes in young women with polycystic ovary syndrome and associations with cardiometabolic risk markers.

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder associated with reproductive dysfunction and increased cardiometabolic risk. Co...

Mechanistic advances in nanomedicine, nucleic acid therapies, and AI-driven research on cervical cancer.

Cervical cancer pharmacotherapy is significantly limited by physiological and cellular barriers that restrict drug access to therapeutic targets, resu...

Transdermal delivery of biologics.

Biologics, including peptides, proteins, antibodies, vaccines and nucleic acid-based therapeutics, have transformed the management of chronic, metabol...

Essentiality-driven prediction of anticancer drug responses in preclinical and clinical contexts.

Precision oncology relies on tumor molecular profiles to predict drug responses. Instead of using conventional molecular features directly, we constru...

Deep Learning for Automated Classification and Dynamic Risk Prediction of Retained Products of Conception on Postpartum Ultrasound.

DNA methylation profiling enables subclassification of mucinous ovarian carcinoma and distinguishes it from extraovarian mucinous metastases.

Mucinous ovarian carcinoma (MOC) is an epithelial ovarian cancer subtype that is frequently misclassified as extraovarian mucinous metastasis (EOM) be...