Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/0009-8981(70)90249-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development.
J Med Internet Res
January 2025
Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Background: Primary intracranial germ cell tumors (iGCTs) are highly malignant brain tumors that predominantly occur in children and adolescents, with an incidence rate ranking third among primary brain tumors in East Asia (8%-15%). Due to their insidious onset and impact on critical functional areas of the brain, these tumors often result in irreversible abnormalities in growth and development, as well as cognitive and motor impairments in affected children. Therefore, early diagnosis through advanced screening techniques is vital for improving patient outcomes and quality of life.
View Article and Find Full Text PDFRisk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study.
J Med Internet Res
January 2025
Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Background: Gastrointestinal bleeding (GIB) is a severe and potentially life-threatening complication in patients with acute myocardial infarction (AMI), significantly affecting prognosis during hospitalization. Early identification of high-risk patients is essential to reduce complications, improve outcomes, and guide clinical decision-making.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting in-hospital GIB in patients with AMI, identify key risk factors, and evaluate the clinical applicability of the model for risk stratification and decision support.
Rapid and Non-Targeted Qualitative and Quantitative Detection of miRNA in Complex Biological Samples Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry with a 3-Aminoquinoline and 2',4',6'-Trihydroxyacetophenone Ionic Liquid Matrix.
J Am Soc Mass Spectrom
January 2025
Department of Chemistry, Zhejiang University, Hangzhou, Zhejiang 310027, China.
A novel ionic liquid MALDI matrix, 3-aminoquinoline/2',4',6'-trihydroxyacetophenone monohydrate (3-AQ/THAP), was developed for the rapid qualitative and quantitative detection of miRNA from biological samples. Compared to the traditional matrix 2,5-dihydroxybenzoic acid (DHB) and previously reported oligonucleotide-specific matrices, such as 3-aminopicolinic acid (3-APA), 3-hydroxypicolinic acid (3-HPA), and 6-aza-2-thiothymine (ATT), the 3-AQ/THAP matrix offers several advantages. It produces fewer alkali metal adduct peaks, exhibits higher sensitivity, and ensures better spot-to-spot repeatability.
View Article and Find Full Text PDFPredicting the risk of bone metastases in patients with newly diagnosed prostate cancer - Development and validation of a nomogram model.
PLoS One
January 2025
Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, Jiangsu, PR. China.
Objectives: The aim of this study was to develop and validate a nomogram model that predicts the risk of bone metastasis (BM) in a prostate cancer (PCa) population.
Methods: We retrospectively collected and analyzed the clinical data of patients with pathologic diagnosis of PCa from January 1, 2013 to December 31, 2022 in two hospitals in Yangzhou, China. Patients from the Affiliated Hospital of Yangzhou University were divided into a training set and patients from the Affiliated Clinical College of Traditional Chinese Medicine of Yangzhou University were divided into a validation set.
A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests.
PLoS One
January 2025
School of Exercise and Health, Shenyang Sport University, Shenyang, China.
Balance is crucial for various athletic tasks, and accurately assessing balance ability among elite athletes using simple and accessible measurement methods is a significant challenge in sports science. A common approach to balance assessment involves recording center of pressure (CoP) displacements using force platforms, with various indicators proposed to distinguish subtle balance differences. However, these indicators have not reached a consensus, and it remains unclear whether these analyses alone can fully explain the complex interactions of postural control.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!