Latest AI and machine learning research in pregnancy for healthcare professionals.
RNA-based technologies have demonstrated significant potential for diverse applications, ranging from vaccination to gene editing. However, their widespread adoption is limited by the critical challenge of efficient delivery. Lipid nanoparticles (LNPs) have emerged as a widely utilized RNA delivery system, yet their formulation design and optimization primarily rely on empirical trial-and-error, w...
OBJECTIVE: To test whether an AI-assisted, dual-template workflow improves plan-delivery accuracy in tooth autotransplantation versus a replica-only freehand approach. METHODS: Twenty-four consecutive cases were assigned to a guided workflow (n = 12) or freehand (n = 12). In the guided group, AI-driven CBCT segmentation informed a socket-preparation guide, a socket-margin guide, and a printed dono...
OBJECTIVE: 3-D ultrasound imaging has shown great promise in clinical diagnosis by offering comprehensive volumetric assessment of organs and anatomic...
Bone defects remain a substantial clinical burden. Exosomes have been extensively investigated as cell-free therapeutic candidates, exhibiting favorab...
Therapeutic efficacy for malignancies and neurological disorders is fundamentally restricted by biological barriers, particularly the complex tumor mi...
Magnetic resonance continues to evolve and advance as a critical imaging modality for disease diagnosis and monitoring. Hardware and software advances...
Deep neural networks (DNNs) can be manipulated to exhibit specific behaviors when exposed to specific trigger patterns, without affecting their perfor...
Pregnant women and children have been underrepresented in clinical studies due to ethical concerns and perceived vulnerabilities. This resulted in a s...
Polymeric drug formulations have significantly improved the safety, efficacy, and clinical impact of many therapies. A persistent challenge for formul...
Fetal and neonatal alloimmune thrombocytopenia (FNAIT) is a major cause of severe thrombocytopenia, intracranial hemorrhage, and long-term neurologica...
With the rising global incidence of infertility and the growing proportion of infants conceived via in vitro fertilization-embryo transfer (IVF-ET), m...
Natural and artificial enzymes have emerged as promising candidates for biomedical applications, possessing the potential to address redox imbalances ...
Hydatidiform mole (HM) is driven by aberrant trophoblast proliferation, disrupting embryonic development and leading to pregnancy loss with increased ...
Polysaccharide-functionalized metallic nanoparticles (MFNPs), including gold (Au), silver (Ag), and iron oxide (Fe3O4), have emerged as promising nano...
Nanoparticle-based drug delivery faces persistent challenges, including complex fabrication processes and limited lesional accumulation. Here we intro...
Ectopic pregnancy (EP) is a leading cause of maternal morbidity and mortality in early pregnancy. Current diagnostic approaches, which rely on ultraso...
Congenital heart disease (CHD) is the leading cause of neonatal mortality worldwide, making early and accurate diagnosis crucial. In resource-constrai...
BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health information. However, in many low-income and middle-income c...
OBJECTIVE: To evaluate the performance of automated (sub)cortical fetal brain segmentation methods on a novel 3D ultrasound dataset acquired from a di...