Speech disorders differ between Parkinson's disease (PD) and multiple system atrophy (MSA), but studies focusing on group differences based on syllables or including cerebellar ataxia (CA) are lacking until now. This cross-sectional study aimed to an...
In radiomics, feature selection methods are primarily used to eliminate redundant features and identify relevant ones. Feature projection methods, such as principal component analysis (PCA), are often avoided due to concerns that recombining features...
This study aimed to identify the optimal prediction method and key preoperative variables for red blood cell (RBC) transfusion risk in patients undergoing mitral valve surgery. We conducted a retrospective study involving 1477 patients from eight lar...
BACKGROUND: Response to immune checkpoint inhibition (ICI) in sarcomas is overall low and heterogeneous. Understanding determinants of ICI outcomes may improve efficacy and patient selection. Thus, we investigated whether the expression of transposab...
INTRODUCTION: Coronary artery bypass grafting (CABG) remains one of the most commonly performed cardiac surgeries worldwide. Despite surgical advancements, a significant proportion of patients experience psychological distress following surgery, with...
BACKGROUND: Opportunistic computed tomography (CT) screening for the evaluation of sarcopenia and myosteatosis has been gaining emphasis. A fully automated artificial intelligence (AI)-integrated system for body composition assessment on CT scans is ...
BACKGROUND: The integration of artificial intelligence (AI) into health care is set to revolutionize the sector, offering opportunities to enhance diagnostic accuracy, personalize treatment, and improve patient outcomes. However, little is known abou...
Naïve T cells are maintained in a homeostatic state to preserve a stable T cell pool with diverse T cell receptor (TCR) repertoires, ensuring preparedness for priming. However, the underlying mechanisms controlling naïve T cell homeostasis and primin...
Image-based modeling is essential for understanding cardiovascular hemodynamics and advancing the diagnosis and treatment of cardiovascular diseases. Constructing patient-specific vascular models remains labor-intensive, error-prone, and time-consumi...
Organoids have emerged as powerful models for recapitulating tissue physiology and pathology in biomedical research. However, the need for consistent and complex manufacturing of organoids remains a challenge. The absence of standardization and quali...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.