Latest AI and machine learning research in stem cell research for healthcare professionals.
OBJECTIVES: To develop an open-source one-tap CBCT automatic segmentation tool based on deep learning to perform integrated segmentation and reconstruction of teeth and pulp in the 3D Slicer software and verify its generalization ability on multiple datasets. METHODS: Three datasets were used for model training and evaluation. Tooth segmentation employed a three-stage V-Net collaborative framework...
BACKGROUND: Pancreatic cancer requires nuanced, multidisciplinary treatment planning typically conducted within tumor boards. While Large Language Models (LLMs) have shown capabilities in medical reasoning, their ability to approximate complex, integrative decision-making in oncology remains underexplored. METHODS: This study evaluated the performance of LLaMA 3.3 (70b) in predicting tumor board d...
Programmed death-ligand 1 (PD-L1) plays a central role in immune regulation in esophageal squamous cell carcinoma (ESCC) and has been widely used as a...
Neuroscience has long emphasized synaptic transmission and physical wiring as the substrate of brain function and behavior. However, an additional lay...
Transarterial chemoembolization (TACE) is increasingly used in patients with hepatocellular carcinoma (HCC), the most frequent primary liver tumor. At...
OBJECTIVE: To develop and evaluate a machine learning model to forecast treatment-related changes in cranial vault asymmetry index (CVAI) and cranial ...
The developmental potential of in vitro embryos is a critical determinant of porcine artificial reproduction technology (ART) efficiency. However, the...
Neoadjuvant therapy (NAT) has demonstrated considerable effectiveness in treating locally advanced non-small cell lung cancer (NSCLC). Major pathologi...
BACKGROUND: Adenomyosis diagnosis and classification relies primarily on magnetic resonance imaging or pathological examination. Liquid biopsy has bee...
INTRODUCTION AND AIMS: This study investigated the synergistic effect of combining 10-methacryloyloxydecyl dihydrogen phosphate (10-MDP) and γ-methacr...
Bioprinting, first proposed in the 1980s for ex vivo tissue fabrication, has evolved into a cornerstone of regenerative medicine. Conventional approac...
BACKGROUND: The ethical, legal, and social issues accompanying the latest advancements in digital health technologies highlight the need to involve th...
BACKGROUND: Survival outcomes after transarterial chemoembolisation (TACE) vary in hepatocellular carcinoma (HCC) patients, and existing prognostic sc...
The thymus is essential for establishing T cell diversity early in life, but undergoes profound involution with age and has therefore traditionally be...
Tissue regeneration is a complex, multi-phase process orchestrated by dynamic changes in protein expression and post-translational modifications (PTMs...
IMPORTANCE: Cancer antigen 19-9 (CA19-9) is used to assess treatment response among patients with pancreatic ductal adenocarcinoma (PDAC); however, ne...
BACKGROUND: Ethics review of research and innovation activities face growing challenges due to rapid scientific and technological advances, interdisci...
The drug development process in cancer faces significant challenges due to high failure rates in translational studies despite promisingin vitroresult...
BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essential for optimizing outcomes in pediatric acute lymph...
Nursing stands at a critical inflection point-shaped by global complexity, rapid technological change, and the enduring moral commitment to human cari...