Pregnancy

Plasticizer mixture exposure-induced preeclampsia pathogenesis: Integrated single-cell and bulk transcriptomics, network toxicology, and molecular docking insights.

PURPOSE: While plasticizers are known preeclampsia (PE) risk factors, the mechanisms of combined exposure to ATBC, DEP, DMP, and DOP remain unclear. This study aims to elucidate their biological targets and pathogenic mechanisms in PE. METHODS: PE/toxin gene targets were predicted from databases. Biomarkers were identified via differential expression analysis, machine learning, expression verifica...

LI-RADS-aligned artificial intelligence for liver cancer diagnosis: methods, evidence, and clinical readiness.

Liver tumor diagnosis relies heavily on imaging, and the liver imaging reporting and data system (LI-RADS) provides a structured framework for evaluating hepatocellular carcinoma (HCC) and related entities in at-risk populations. Artificial intelligence (AI) has rapidly expanded across CT, MRI, and ultrasound/CEUS, yet its clinical credibility depends on adherence to modality-appropriate tasks, ro...

A nomogram model integrating ultrasound-based multimodal radiomics features and clinical indexes for diagnosing significant hepatic fibrosis in AILD patients.

OBJECTIVE: To develop a prediction model combining radiomics features from 2D ultrasound (2D-US) and shear wave elastography (SWE) with clinical indic...

Assembly delivery of bioactive matters: Advances, challenges, and prospects.

BACKGROUND: Assembled delivery systems (ADS) are a novel drug delivery technology that has emerged in biomedical engineering in recent years. By integ...

Targeting High-Risk Populations for Abdominal Aortic Aneurysm Screening: A Sex-Stratified Analysis in an Ethnicity Diverse Cohort Incorporating Machine Learning Tools.

BACKGROUND: Abdominal aortic aneurysm (AAA) is usually asymptomatic, but rupture carries up to 90% mortality. Ultrasound screening reduces rupture-rel...

Calcium carbonate in drug delivery: functional carrier design, applications, and data-driven perspectives.

INTRODUCTION: Calcium carbonate particles are a very potent type of inorganic drug delivery carriers, which have attractive pH responsiveness, strong ...

How humanoid robots influence consumer preferences in the foodservice industry.

Companies in the foodservice industry are investing heavily into robots, attracted by gains in efficiency and lower labor costs. The appearance of the...

Endocrinology in maternal-fetal synchronization and developmental origins of susceptibility to metabolic diseases.

The biological clock enables organisms to align their intrinsic rhythms with daily environmental cycles thereby maintaining homeostasis and imparting ...

Modulating tumor mechanics and vascular barriers to enhance chemotherapy efficacy in pancreatic tumors and melanoma.

Pancreatic ductal adenocarcinoma (PDAC) is characterized by a dense stroma and dysfunctional vasculature, limiting drug delivery and immune infiltrati...

Clinical practice, barriers to implementation, and priorities for equitable access of Stereotactic Body Radiation Therapy: An analysis of the global status by the ESTRO SBRT Focus Group.

BACKGROUND: Stereotactic Body Radiation Therapy (SBRT) has become an established treatment for several primary and metastatic malignancies; however, c...

A Learning Accelerator Framework: Scalable Clinical Artificial Intelligence Development and Delivery.

OBJECTIVES: To introduce a vertically integrated model between a health care service provider and technology developer as a learning accelerator to ad...

Automated Feature Segmentation of Ultra-Widefield OCT Images.

OBJECTIVE OR PURPOSE: To develop a lightweight neural network for automated cross-sectional and en face segmentation of ultra-widefield (UWF) OCT imag...

Emerging nanoparticle-based therapies for pancreatic cancer: Current clinical landscape.

Pancreatic cancer, particularly ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal subtypes due to late diagnosis, the absence of e...

Exploiting colloidal drug aggregation for drug delivery: From promise to prediction using computational tools.

Colloidal drug aggregates are amorphous nanoparticles formed by the self-assembly of hydrophobic small molecule drugs. They can be leveraged as drug-r...

Machine Learning for diagnosis of malignant thyroid nodules based on thyroid ultrasound: Systematic review and meta-analysis of studies with external datasets.

INTRODUCTION: Optimizing the diagnostic approach to thyroid nodules remains a crucial challenge. Ultrasound-based risk stratification systems such as ...

Impact of an autonomous delivery robot on sample turnaround time in a clinical laboratory: an early evaluation of first implementation.

OBJECTIVES: The aim of this study was to evaluate the impact of introducing an autonomous courier in a clinical laboratory, focusing on specimen turna...

Recent advances in cancer nanomedicine: From smart targeting to personalized therapeutics - pioneering a new era in precision oncology.

Cancer nanomedicine has evolved from the 1995 landmark approval of Doxil® into a programmable platform of precision oncology. The field now progresses...

Next-Gen Midwifery Support: Designing an Artificial Intelligence (AI) Enhanced Mobile App for Pregnancy Risk Categorization and Clinical Decision Support on Maternal and Neonatal Outcomes.

BACKGROUND: Limited medical professionals, particularly in rural community, impedes patient treatment. Rapid prenatal risk assessments are critical fo...

AI-powered intestinal ultrasound in inflammatory bowel disease: Advancing toward automated disease assessment.

The management of inflammatory bowel disease (IBD) relies on accurate disease assessment and close monitoring to guide therapy and evaluate treatment ...

Validation of an artificial intelligence program in the characterization of breast nodules by ultrasound.

INTRODUCTION: Breast ultrasound is a widely accessible imaging method but highly operator-dependent. Artificial intelligence (AI) may improve breast l...