Metagenomic Next-Generation Sequencing, instead of Procalcitonin, Could Guide Antibiotic Usage in Patients with Febrile Acute Necrotizing Pancreatitis: A Multicenter, Prospective Cohort Study

Medicine, Infectious Diseases, Medical Laboratory Science, Gastroenterology, Life Sciences, Microbiology,
acute necrotizing pancreatitis   antibiotic stewardship   infected pancreatic necrosis   metagenomic next-generation sequencing   procalcitonin  

Metagenomic Next-Generation Sequencing as an Alternative to Procalcitonin in Guiding Antibiotic Use in Patients with Acute Necrotizing Pancreatitis and Fever Background and Research Objectives Acute pancreatitis (AP) is one of the leading causes of emergency hospital admissions for digestive system diseases, with significant medical resource utiliz...

An Anatomo-Functional Study of the Interactivity Between the Paracentral Lobule and the Primary Motor Cortex

Medicine, Medical Laboratory Science, Neurology, Neurosurgery, Medical Imaging,
Paracentral lobule   Primary motor cortex   Cortico-cortical evoked potentials   Diffusion tensor imaging   Motor function   Diagnostic technique   Plasticity  

Neurosurgical Research: Anatomical and Functional Study of Connections between the Paracentral Lobule and Primary Motor Cortex In recent years, researchers have been continuously exploring the connections between different regions of the human brain, particularly those involving motor function and its plasticity. It is known that the paracentral lo...

Development and Validation of a Deep Learning Radiomics Model with Clinical-Radiological Characteristics for the Identification of Occult Peritoneal Metastases in Patients with Pancreatic Ductal Adenocarcinoma

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
deep learning   radiomics   occult peritoneal metastases   pancreatic ductal adenocarcinoma   computed tomography  

Development and Validation of a Deep Learning Radiomics Model Combined with Clinical Radiological Features for Predicting Occult Peritoneal Metastasis in Patients with Pancreatic Ductal Adenocarcinoma Background Pancreatic ductal adenocarcinoma (PDAC) is an extremely lethal malignancy with a 5-year survival rate of approximately 11%. The poor progn...

Artificial Intelligence-Based Classification of Breast Lesion from Contrast Enhanced Mammography: A Multicenter Study

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging, Oncology,
breast lesions   artificial intelligence   diagnosis   mammography   deep learning  

Multi-center Study on Artificial Intelligence-based Classification of Breast Lesions In the field of breast cancer, early diagnosis is crucial for improving treatment efficacy and survival rate. Breast cancer can be mainly divided into two categories: in situ carcinoma and invasive carcinoma, which have significant differences in treatment strategi...

Gliomatosis cerebri in children: a poor prognostic phenotype of diffuse gliomas with a distinct molecular profile

Medicine, Pediatrics, Medical Laboratory Science, Neurology, Oncology, Life Sciences, Cell Biology, Genetics,
pediatric gliomatosis cerebri   diffuse gliomas   molecular profile   poor prognosis   genetic alterations   high-grade gliomas   brain tumor  

Childhood Gliomatosis Cerebri: A Poor Prognosis Phenotype of Diffuse Glioma with Distinct Molecular Characteristics Introduction Gliomatosis cerebri (GC) is a highly invasive form of diffuse glioma. It was initially discarded as an independent pathological type due to its indeterminate molecular characteristics. However, with the advancements in mo...

Raman-Based Machine Learning Platform Reveals Unique Metabolic Differences Between IDHmut and IDHwt Glioma

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Neurology, Medical Imaging, Oncology, Life Sciences, Cell Biology, Biochemistry,
Raman spectroscopy   glioma   machine learning   FFPE tissue   lipid metabolism  

Study on Metabolic Differences between IDH Mutant and Wild-type Glioma Cells Using Raman Spectroscopy and Machine Learning Platform Background Introduction In the diagnosis and treatment of gliomas, formalin-fixed, paraffin-embedded (FFPE) tissue sections are commonly used. However, due to background noise interference from the embedding medium, th...