Spatial Multi-omics High Throughput In Situ Pairwise Sequencing at Subcellular Resolution Research Background and Objectives With the continuous advancement in biomedical research, the application of multi-omics technologies in understanding cell functions and disease mechanisms has gained increasing attention. However, many current in situ sequenc...

StrokeClassifier: An AI Tool for Etiological Classification of Ischemic Stroke Based on Electronic Health Records Project Background and Motivation Identifying the etiology of strokes, particularly acute ischemic stroke (AIS), is crucial for secondary prevention, but it is often very challenging. In the United States, there are nearly 676,000 new c...

Insights into the Association Between Sleep and Mortality Revealed by Self-supervised Learning of Wrist-worn Accelerometer Data In modern society, sleep is an essential basic activity for life, and its importance is self-evident. Accurately measuring and classifying sleep/wake states and different sleep stages is crucial for diagnosing sleep disord...

Development and Validation of Large-Scale Machine Learning Algorithms for Cardiovascular Diagnosis Based on Electrocardiograms Introduction Cardiovascular diseases (CV) have long been a major source of global disease burden. Early diagnosis and intervention are crucial for reducing complications, healthcare utilization, and associated costs. Tradit...

Impact of Deep Learning Sepsis Prediction Model on Nursing Quality and Patient Survival Research Background Sepsis is a systemic inflammatory response caused by infection, affecting approximately 48 million people globally each year, with around 11 million deaths. Due to the heterogeneity of sepsis, early identification often faces significant chal...

Using Large Language Models to Identify Social Determinants of Health from Electronic Health Records Background and Research Motivation Social Determinants of Health (SDOH) have a significant impact on patient health outcomes. However, these factors are often incompletely recorded or missing in the structured data of Electronic Health Records (EHR)...

Clinical and Pathological Heterogeneity of Alzheimer’s Disease and Patterns of Glial Cell Activation Academic Background Alzheimer’s Disease (AD), as the primary cause of dementia in the elderly, has always been a hot topic in research due to its pathological heterogeneity. Previous studies have indicated that the clinical symptoms of AD are divers...

MRI-Guided Staged Bilateral Focused Ultrasound Subthalamotomy for Parkinson’s Disease Background Parkinson’s Disease (PD) is a common neurodegenerative disorder, characterized mainly by motor symptoms such as tremor, rigidity, and bradykinesia. Traditionally, treatments for PD include medication and surgical interventions such as Deep Brain Stimula...

Precise Colorectal Cancer Screening Based on Customized Intervals Using Fecal Hemoglobin Concentration Researchers: Amy Ming-Fang Yen, Yang-Ching Chen, Yu-Lin Ding, Wen-Zhu Qiu, Han-Mo Qiu, Tony Hsiu-Hsi Chen, Sam Li-Sheng Chen Academic Background Colorectal cancer (CRC) is the third most prevalent malignancy worldwide. In recent years, significant...

Mesenchymal Stromal Cells with Chimeric Antigen Receptors for Enhanced Immunosuppression Background Mesenchymal Stromal Cells (MSCs) are pluripotent cells found in almost all tissues and possess significant immunosuppressive and regenerative properties. These features make MSCs widely studied for the treatment of immune diseases and tissue regenera...