Latest AI and machine learning research in pregnancy for healthcare professionals.
Drug delivery, serving as a pivotal link between pharmaceutical innovation and clinical implementation, faces numerous challenges in achieving optimal therapeutic outcomes. With the advancement of computational methodologies and technological tools, artificial intelligence (AI) has been increasingly applied in pharmaceutical sciences, ranging from target discovery to product management. In recent ...
AIMS: Associations between metabolic heterogeneity in women with gestational diabetes mellitus (GDM) and adverse pregnancy outcomes have often been explored without considering interrelated metabolic biomarkers, limiting accurate predictions of outcomes. This study aimed to identify metabolic heterogeneity across distinct classes of biomarkers in GDM women and link this metabolic heterogeneity wit...
OBJECTIVES: To determine whether two-dimensional B-mode ultrasound radiomics of the masseter muscle can differentiate individuals with a clinically de...
For decades, plant-environment interactions were understood to be primarily mediated by chemical and visual stimuli. However, recent evidence has unve...
Poly (lactic-co-glycolic acid) (PLGA) microparticles are widely used as biodegradable drug-delivery carriers, where particle size critically governs d...
RNA viruses are a diverse and rapidly evolving group of pathogens that significantly contribute to worldwide morbidity and mortality, propelled by ele...
BACKGROUND: Gestational diabetes mellitus (GDM) is a common pregnancy complication, yet its molecular mechanisms remain incompletely understood. This ...
BACKGROUND AND AIM: Artificial Intelligence (AI) has been increasingly used in cancer survivorship to support symptom management. This scoping review ...
Neuromuscular diseases (NMD), comprising over 600 different conditions, severely impact nerve and/or muscle function and lead to significant morbidity...
Accurate perfusion evaluation is crucial for clinical diagnosis and treatment, such as lesion characterization and risk stratification of carotid athe...
This review examines artificial intelligence (AI) applications in ultrasound imaging for carpal tunnel syndrome diagnosis. Deep learning models have a...
Implantable bioelectronics are typically inaccessible once implanted, and therefore structural damage, degradation and functional loss often go undete...
The integration of artificial intelligence and robotics into clinical medicine is no longer a question of whether but of how, and physicians currently...
Accurately distinguishing the benign thyroid nodules (BTNs) and malignant thyroid nodules (MTNs) is crucial for treatment planning and prognosis. This...
INTRODUCTION: Pathogenic free-living amoebae, including Naegleria fowleri, Acanthamoeba spp. and Balamuthia mandrillaris, are rare but frequently fata...
Thyroid nodules are detected in a large proportion of adults undergoing high-resolution ultrasonography, yet only a minority harbor clinically signifi...
Neurodevelopmental disorders often share similar behavioral diagnostic criteria including socioemotional and cognitive deficits. The prairie vole is a...
As an important barrier tissue, the intestinal mucosa is responsible for regulating immunity, absorbing nutrients, and maintaining microbial homeostas...
Extracellular vesicles (EVs) have emerged as promising tools for early cancer detection, therapeutic monitoring, and drug delivery in oncology. Artifi...
Messenger RNA (mRNA) therapeutics have revolutionized biomedicine by enabling direct in vivo programming of immune cells. This strategy bypasses the c...