Background In recent years, Reinforcement Learning (RL) has demonstrated its effectiveness in solving various complex tasks. However, many real-world decision-making and control problems involve multiple conflicting objectives. The relative importance (preference) of these objectives often needs to be balanced against each other in different scenar...
GMConv: Adjusting the Effective Receptive Field of Convolutional Neural Networks Introduction Convolutional Neural Networks (CNNs) have achieved significant success in computer vision tasks, including image classification and object detection, through the use of convolutional kernels. However, in recent years, Vision Transformers (ViTs) have gained...
Dendritic-cell-targeting Virus-like Particles as Potent mRNA Vaccine Carriers Introduction In vaccine development, especially mRNA vaccines, significant achievements have been made in recent years. The mRNA vaccines developed by Moderna and Pfizer/BioNTech against COVID-19 have set a successful precedent, greatly advancing the development of mRNA v...
Bilingual Speech Neuroprosthesis Driven by Cortical Speech Representations Background In the development of neuroprostheses, research on decoding language from brain activity has primarily focused on decoding a single language. Thus, the extent to which bilingual speech production relies on unique or shared cortical activity between different langu...
The Application of Antibodies Displaying Extracellular Vesicles in Targeted Cancer Therapy Extracellular Vesicles (EVs) have been extensively researched as natural delivery carriers and mediators of biological signals in various tissues. In this study, researchers utilized these characteristics of EVs to demonstrate a modular delivery system for ca...
Academic News Report: New MRI Technology Achieves Biological Fluorescence Imaging by Detecting Local Hemodynamics of Photosensitive Blood Vessels Academic Background Introduction Bioluminescent probes are widely used for monitoring biomedical processes and cellular targets in living animals. However, the absorption and scattering of visible light b...
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...