With over a century of development, electrocardiogram (ECG) diagnostics has become the preferred tool for healthcare professionals in cardiovascular disease diagnosis and monitoring. As wearable devices and mobile monitoring technologies become wides...
OBJECTIVE: To predict the actual number of COVID-19 cases in Brazilian pregnant and postpartum women diagnosed with Severe Acute Respiratory Syndrome using a predictive model created based on data from Brazilian database.
Simultaneous interpreting (SI) enables real-time cross-language communication without significant delays and is vital for fast-paced environments such as multilingual conferences. Automatic subtitles, powered by artificial intelligence (AI), is an im...
The objective of image fusion is to synthesize information from multiple source images into a single, high-quality composite that is information-rich, thereby enhancing both human visual interpretation and machine perception capabilities. This proces...
BACKGROUND: To develop and validate a deep learning pipeline using prostate biopsy H&E slides to predict extraprostatic extension (EPE) in prostate cancer (PCa) patients.
Journal of chemical information and modeling
Aug 21, 2025
The transient receptor potential vanilloid 1 (TRPV1) ion channel is a key mediator of pain and inflammation, making it a crucial target for developing new analgesics. Despite progress in understanding TRPV1's role, novel modulators that effectively i...
Quantum transport-based DNA sequencing is emerging as a promising technique in genetic analysis, offering fast, precise, and scalable decoding of genetic information, holding significant potential for applications in human biology and personalized me...
Journal of the American Chemical Society
Aug 21, 2025
Detecting protein biomarkers is critical in fundamental research and clinical investigations of extracellular vesicles (EVs). Despite the prevalent use of antibodies as recognition elements, their application is often limited by challenges such as cr...
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Aug 21, 2025
INTRODUCTION: Unsupervised deep learning methods can improve the image quality of positron emission tomography (PET) images without the need for large-scale datasets. However, these approaches typically require training a distinct network for each pa...
Robotic-assisted total joint arthroplasty shows clear evidence of improved component positioning across all applications with modest functional improvements at early to mid-term follow-up. The strongest economic value proposition exists for partial k...
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