As viral vectors consolidate their role as leading vehicles in therapeutic gene delivery, the demand for finely engineered variants with optimized properties continues to intensify. Computational approaches have emerged as powerful enablers of this e... read more
BACKGROUND: Myocarditis, as an important cardiovascular disease, involves complex pathogenic mechanisms including immune dysregulation and metabolic disorders. The Traditional Chinese Medicine (TCM) theory of "simultaneous treatment of heart and sple... read more
OBJECTIVES: To evaluate whether a retrieval-augmented generation (RAG) framework can enhance citation precision and improve the clinical reliability of large language models (LLMs) in implant dentistry. METHODS: A domain-specific knowledge base was c... read more
Charting the normative and atypical trajectories of the brain's rapid early-life reorganization is crucial for understanding neurodevelopment. Although magnetic resonance imaging (MRI) enables high-resolution visualization of the structural and funct... read more
Manual Pap smear analysis for cervical cancer screening is limited by inter-observer variability, time constraints, and restricted expert availability. Although convolutional neural networks (CNNs) have automated cervical cell classification, they re... read more
Diffusion-based \textit{image-to-video} (I2V) generation has become a central direction in generative models by turning a reference image, with optional conditions, into a temporally coherent video. Compared with broader video generation settings, th... read more
Test-time adaptation (TTA) has recently emerged as a promising approach for improving time series forecasting (TSF) under distribution shift. Existing TSF-TTA methods differ in how they utilize revealed targets, yet the resulting adaptation protocols... read more
While scaling laws have established a fundamental framework for foundation models in natural language processing, their applicability to electrocardiogram (ECG) models remains poorly characterized. Indeed, recent studies do not always yield consisten... read more
While hyperspectral imaging provides rich spatial-spectral information across hundreds of narrow wavelength bands for precise material identification, ground-based hyperspectral pre-trained backbones remain absent, constrained by varying spectral con... read more
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.