Pregnancy

pH-sensitive hydrogel-based magnetic capsule microrobot swarm with multimodal locomotion for targeted drug delivery.

Hydrogel magnetic microrobots are promising for targeted drug delivery, but large drug-loaded microrobots are difficult to manipulate as stable swarms under conventional rotating magnetic fields. Here, shell-core magnetic capsule hydrogel microrobots (CHMs) were fabricated by coaxial microfluidics and actuated using a composite magnetic field system. The CHMs exhibited tunable diameters of 100-600...

Advances in RNA pesticides and nano-delivery systems.

RNA pesticides have garnered considerable attention in pest management due to their exceptional selectivity, environmental safety, and flexible design. They interfere with essential physiological processes in pests by silencing key genes, thereby achieving effective pest control. Moreover, RNA pesticides can target genes related to detoxification enzymes in pests, increasing pests' susceptibility ...

A Multimodal Ultrasound Radiomics Model Integrating Contrast-Enhanced Phases: Retrospective Temporal Test Cohort Evaluation and Comparison with Sonographers for Cervical Lymph Node Characterization.

RATIONALE AND OBJECTIVES: To develop a multimodal ultrasound radiomics model based on conventional ultrasound and three-phase contrast-enhanced ultras...

Engineering strategies and translational progress in targeted nanoparticle drug delivery.

INTRODUCTION: Nanoparticle-based drug delivery has emerged as a transformative approach in modern therapeutics, offering improved targeting efficiency...

Evolution of peptide-mediated siRNA delivery - from early design to next generation platform.

Small interfering RNA (siRNA) therapeutics has huge potential for treating many diseases, including those incurable or undruggable by small molecules ...

BoostCNN: Deep Learning AdaBoost-based Method for Easy and Difficult Nodule Classification in Ultrasound Images.

Ultrasonography is used as a complementary imaging modality for breast cancer detection because it can detect cases missed by mammography. Nevertheles...

Knowledge Distillation and Reinforcement Learning in a Human--Machine Collaboration Delivery System With a Robotic Arm.

Robotic arms are widely used in various aspects of human-robot collaboration. The primary goal of this study is to explore the usability of robotic ar...

A 23-µJ-per-Frame All-on-Chip TinyML U-Net Processor for Real-Time Autonomous Image Segmentation in Miniaturized Ultrasound Devices.

Autonomous medical image segmentation enables critical applications, including urinary retention monitoring, prenatal fetal biometry, neuromodulation,...

Adaptive Admittance Control for Robotic Ultrasound Examination Based on a Breast Biomechanical Model.

BACKGROUND: Autonomous Robotic Ultrasound Systems (ARUS) enable standardized breast cancer screening, but accurate breast localization and the nonline...

In Vivo Assessment of Placental Structure and Perfusion in Late-Gestation Pregnancies and Their Association With Fetal Growth.

Adequate placental structure and function are crucial for fetal growth, while placental dysfunction often leads to fetal growth restriction (FGR), ass...

Compliance Control of a Robotic Breast Ultrasound System Based on Variable Admittance Control.

INTRODUCTION: In a robotic breast ultrasound (US) system (RBUS), ensuring patient safety, comfort, and high compliance is critical. METHOD: To improve...

Risk Stratification for Postpartum Hemorrhage in Vaginal Delivery: A Nationwide Cohort Study of Predelivery and Intrapartum Risk Assessment.

AIM: To develop and validate machine learning models for clinically applicable risk stratification of postpartum hemorrhage (PPH) in vaginal delivery,...

Radiomics and machine learning analysis of ultrasound images in Bethesda IV thyroid nodules: a retrospective monocentric study.

Bethesda IV thyroid nodules remain a major diagnostic challenge because cytology cannot reliably distinguish benign from malignant follicular-patterne...

Automated segmentation of thyroid tissue and carotid artery in ultrasound videos using expert-in-the-loop deep learning: a foundational step toward AI-assisted thyroid diagnostics.

Ultrasound (US) is the primary imaging modality for thyroid evaluation, yet its diagnostic accuracy remains highly operator dependent. Automated ident...

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 h...

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 biodistrib...

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 ...

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...

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, ...

Explainable AI-Assisted Multimodal Ultrasound Radiomics for Preoperative Risk Stratification of Central Lymph Node Metastasis in Papillary Thyroid Carcinoma.

The objective was to develop and validate an explainable artificial intelligence (AI)-based multimodal approach for preoperative risk stratification o...