Latest AI and machine learning research in work force for healthcare professionals.
Characterizing the isomeric diversity of molecular formulas (MFs) in dissolved organic matter (DOM) is essential for advancing research across environmental and biomedical sciences. Ultra-high-resolution mass spectrometry (UHR MS), particularly when coupled with high-performance liquid chromatography (LC-UHR MS), can resolve isomeric diversity chromatographically. However, its broad application is...
BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major depressive disorder (MDD). However, most studies have focused on bacteria, while the functional and ecological contributions of eukaryotes, archaea, and viruses in MDD remain poorly understood. METHODS: Fecal samples were collected from 121 first-episode, drug-naïve young adults with MDD and 117 healt...
Vitiligo is a common skin depigmentation disorder; assessing its state is crucial for the treatment outcome. Collecting multimodal data for vitiligo a...
PURPOSE: We review burnout risk factors in interventional radiology (IR) and explore how artificial intelligence (AI) would address burnout from a wor...
BACKGROUND: Snakebite envenoming (SBE) is a neglected tropical disease and a major public health crisis in Africa. We integrated a maximum difference ...
The aeromedical certification of commercial airline pilots relies on periodic, self-disclosure-dependent assessments. However, this reactive model lac...
RATIONALE AND OBJECTIVES: Breast cancer is the most common malignancy among females globally and across most Asian countries. In 2022, Asia's age-stan...
In embodied artificial intelligence (AI), evolutionary search enables adaptation in complex and uncertain environments but relies on massive stochasti...
BACKGROUND: Proteins regulate diverse biological processes through interactions with other molecules, including RNAs. RNA-binding proteins (RBPs) are ...
Cancer remains one of the leading causes of death worldwide and continues to pose a serious public health challenge. The limited success of many curre...
This study presents Temporal Convolutional Network-Bidirectional Gated Recurrent Unit-Multi Head Attention (TCN-BiGRU-MHA) hybrid deep learning model ...
In our previous work, we developed a CCSD(T)-level range-separated water force field that combines the power of physics-driven and machine learning mo...
BACKGROUND: Efforts to ameliorate the current organ shortage have predominantly focused on improving processes among the nation's organ procurement or...
Partial atomic charges are a fundamental component underlying classical molecular simulations, but assigning charges remains a computational bottlenec...
Equity, diversity, and inclusion (EDI) are fundamental to achieving fairness and representation in radiological research and practice. This review aim...
BACKGROUND: Radiologist burnout affects approximately 40% of US radiologists. Large language models (LLMs) may improve workflow efficiency, but real-w...
Combination therapy is an essential strategy for treating complex diseases. However, unintended drug-drug interactions (DDIs) can compromise therapeut...
BACKGROUND: Confidence in dentist-patient communication is essential for building trust, supporting treatment adherence, and improving oral health out...
Non-saponin constituents of Panax species, including amino acids, sugars, and nucleosides, have attracted increasing attention due to their nutritiona...
BACKGROUND: Reliable predictive modeling in high-dimensional biomedical data requires a balance between accuracy, interpretability, and computational ...