Latest AI and machine learning research in preventive care for healthcare professionals.
Adsorbate-adsorbate interaction serves as a critical bridge between macroscopic mass transfer and microscopic adsorption-reaction kinetics in heterogeneous catalysis, yet its dynamic characterization remains underexplored. Herein, we integrate density functional theory (DFT), artificial intelligence (AI)-driven structural screening incorporating a deduplication algorithm and the equivariant graph ...
Molecular docking has become an essential tool in the early stages of structure-based drug discovery, enabling rapid virtual screening of large compound libraries against biological targets. However, the accuracy of binder selection is often limited by the available scoring functions. Here, we present a novel workflow SMARTDock (Scoring with Machine learning and Activity for Ranking Targeted Docki...
Accurate and early detection of Acute Lymphoblastic Leukemia (ALL) is critical for timely intervention and improved patient outcomes. However, the dev...
Deep learning has made significant progress in drug discovery. However, most existing models are single-task and single-modality, which not only limit...
DNA-encoded chemical libraries (DELs) enable the highly efficient screening of billions of small molecules for binding to a target of interest and pro...
BACKGROUND: Early structural heart disease (SHD) detection is crucial for improving prognostic outcomes, but widely accessible screening methods are l...
Type 2 diabetes mellitus (T2DM) is a global disease threatening human health. Regulating blood glucose homeostasis is a key strategy for the treatment...
STUDY DESIGN: Cross-sectional study. OBJECTIVE: This study proposes a novel stratification framework for individuals with low back pain (LBP). The met...
BACKGROUND: Colorectal cancer (CRC) screening reduces incidence and mortality, yet patient adherence remains suboptimal. Large language models may imp...
With the rapid growth of scholarly literature, efficient artificial intelligence (AI)-aided abstract screening tools are becoming increasingly importa...
BACKGROUND: Clinical documentation is essential for safe, high-quality care but has become increasingly complex, contributing to clinician burnout. La...
BACKGROUND: Venous thromboembolism (VTE) and cancer exhibit a bidirectional correlation. The probability of detecting occult cancer in unprovoked VTE ...
BACKGROUND: Abdominal aortic aneurysm (AAA) is usually asymptomatic, but rupture carries up to 90% mortality. Ultrasound screening reduces rupture-rel...
Soft optical sensors hold potential for enhancing minimally invasive procedures like colonoscopy, yet their complex, multi-modal responses pose signif...
OBJECTIVE: To compare acceptability of 2 artificial intelligence (AI) use cases in the English National Health Servic Breast Screening Program. PATIEN...
BACKGROUND: Pediatric obstructive sleep apnea (OSA) affects ∼3 % of children and causes adverse neurocognitive, behavioral, and cardiovascular outcome...
OBJECTIVES: To introduce a vertically integrated model between a health care service provider and technology developer as a learning accelerator to ad...
Endometrial cancer represents a major global health concern, with rising incidence particularly in developed countries despite declining mortality rat...
OBJECTIVE: To explore the association between cancer information overload and attitudes toward cancer screening among internal medicine patients. AIMS...
South Korea, now a "super-aged" society, faces a rising burden of fragility fractures, yet underdiagnosis remains a major barrier, with limited DXA ac...