Pregnancy

Deep-Motion-Net: GNN-based volumetric liver shape reconstruction from single-view 2D projections.

PURPOSE: Internal anatomical motion challenges precise radiation delivery during external beam radiotherapy. Estimating and compensating for anatomical motion are essential for improving planned dose delivery to target volumes while sparing organs-at-risk. This research achieves accurate motion prediction using only planar X-ray imaging from conventional linear accelerators, without surrogate sign...

Model-guided design of lymphatic drug delivery systems using osmotic pressure, viscosity and lymph node size.

Metastatic lymph nodes (LNs) represent a major barrier to effective drug delivery in cancer therapy. To address this challenge, a lymphatic drug delivery system (LDDS) enabling direct intranodal administration has been developed. In LDDS, drug transport and retention are governed by formulation osmotic pressure and viscosity; however, optimization strategies according to LN size and therapeutic ob...

WormSpot: a machine learning-powered viability scoring platform in C. elegans for Candida pathogenicity studies.

UNLABELLED: Invasive Candida infections pose a critical health challenge, exacerbated by emerging antifungal resistance. Caenorhabditis elegans (C. el...

Pregnancy prediction in Nelore heifers using machine learning algorithms.

Beef cattle production systems, particularly those based on Nelore heifers in tropical regions, are under increasing pressure to improve reproductive ...

Bridging Therapeutics and Nanotechnology in Dry Eye Disease: A Review of Risk Factors, Drug Delivery Barriers, and Recent and Future Endeavors for Disease Management.

Dry eye disease (DED) is a multifactorial ocular disorder with high prevalence among global population, characterized by tear film instability, hypero...

A machine learning-based megakaryocyte identification system uncovers resident organs, markers, and functional diversity.

The organ- and stage-specific diversity of megakaryocytes (MKs) has prompted a reassessment of their distribution and functions. By integrating single...

Engineering immune cells for next-generation therapies.

Immune cell engineering has emerged as a transformative frontier in medicine, reshaping therapeutic strategies for cancer, autoimmunity and infectious...

Automated Detection of Patent Ductus Arteriosus in Pediatric Patients Using Doppler Ultrasonography Videos Based on a Transformer Model.

Patent ductus arteriosus (PDA) is a common congenital heart defect that requires timely and accurate detection to guide clinical management. Although ...

Computational Model for Predicting Optimal Clinical Intervention in Pre-Operative Neonates with Transposition of the Great Arteries.

PURPOSE: Transposition of the Great Arteries (TGA) is a congenital heart defect characterized by the abnormal positioning of the pulmonary artery over...

Influences of adverse childhood experiences and weekly pregnancy stress on postpartum mental health symptoms: a machine learning examination.

PURPOSE: The goal of this study was to understand how the timing, level, and fluctuation of pregnancy stress affected women's postpartum mental health...

Prenatal serotonin reuptake inhibitor exposure and maternal depression symptoms are associated with altered fetal brain and placental development.

Maternal mental health is associated with fetal neurodevelopment. Identifying effective treatments for maternal psychiatric conditions is a public hea...

Application of multimodal ultrasound radiomics in the diagnosis of superficial lymph node tuberculosis.

OBJECTIVE: To develop preoperative diagnostic models for superficial lymph node tuberculosis (LNTB) using radiomic features extracted from multimodal ...

Morphology-, noise-, and resolution-robust ultrasound elasticity imaging with Fourier neural operator.

Quasi-static strain elastography is a non-invasive technique for estimating tissue stiffness fields from displacement fields obtained by comparing ult...

Development of AI-assisted 3D-printed degradable hydrogel microneedles for transdermal delivery of progesterone-loaded solid lipid nanoparticles: a novel approach to slowing Alzheimer's disease progression.

Progesterone (PG) is used to slow the progression of neurodegenerative diseases, particularly Alzheimer's disease (AD) in postmenopausal women. Howeve...

Feasibility and Reproducibility of a Structure-Guided Deep Learning Model for Automatic Detection of the Standard Sagittal Plane in First-Trimester Nuchal Translucency Assessment Using 3D Ultrasound.

OBJECTIVES: Accurate nuchal translucency (NT) measurement for assessing the risk of fetal genetic abnormalities requires precise acquisition of the mi...

Multimodal Nomogram for the Prenatal Risk Assessment of Hypoplastic Left Heart Syndrome Using Self-Supervised Learning.

OBJECTIVES: This retrospective study aims to develop and validate a multimodal nomogram for the prenatal risk assessment of hypoplastic left heart syn...

A Systematic Review: The Application of Attention Mechanisms in Medical Ultrasound Image Processing.

Among numerous medical imaging modalities, ultrasound imaging is one of the most commonly used diagnostic methods in clinical practice. However, ultra...

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-care Ultrasound Devices.

OBJECTIVE: To develop a robust and compact deep learning model for automated knee cartilage segmentation on point-of-care ultrasound (POCUS) devices. ...

A Dual-Task Deep-Learning Model with Fused Ultrasound Images for Simultaneous Typing and Grading of Cystocele.

INTRODUCTION AND HYPOTHESIS: We developed a dual-task deep-learning model, termed FD-Net, which utilizes fused two-dimensional (2D) and three-dimensio...

Older adults' perceptions of artificial intelligence in healthcare: an exploratory quantitative analysis.

BACKGROUND AND OBJECTIVES: Artificial intelligence (AI) has the potential to improve healthcare outcomes. There is limited literature regarding older ...