Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
OBJECTIVES: Driving under the influence of cannabis is a growing public health concern in the United States. Existing surveillance systems often lack behavioral detail, rely on static quotas, or fail to account for differences across legal contexts. The Cannabis and Roadway Safety Study (CARSS) is a multi-phase project designed to address these gaps. This paper describes the methods of the Phase 2...
Accurate NMR chemical shift assignments are essential for atomic-resolution characterization of proteins. Especially for intrinsically disordered proteins (IDPs) and regions (IDRs), however, the assignment remains a labor-intensive task due to spectral overlap and conformational heterogeneity. Consequently, complete side-chain assignments are rare. Here, we present a comprehensive reference datase...
Hemodialysis demand is rising as populations age and the chronic kidney disease burden increases, yet dialysis units face persistent workforce constra...
PURPOSE OF REVIEW: This scoping review synthesizes contemporary evidence on the role of simulation, uro-technology and structured training curricula i...
Artificial Intelligence (AI) is increasingly applied for food quality control, authenticity assessment, and chemical profiling. However, the reliabili...
OBJECTIVE: To examine the evolving role and application of SNOMED CT (SCT) during 2020-2025, a period marked by the COVID-19 pandemic and accelerated ...
Amyotrophic lateral sclerosis (ALS) is traditionally viewed as a late-onset motor neuron disease, yet how cortical dysfunction originates and contribu...
Sinomenine (SIN), a bioactive alkaloid with anti-inflammatory activity, has shown therapeutic potential in ulcerative colitis (UC), but its precise mo...
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and accurate histopathological classification is essential for ti...
A novel deep reinforcement learning (DRL)-based multi-objective optimization framework for low-carbon combined cooling, heating, and power (CCHP) syst...
The global health workforce is approaching a breaking point, driven by administrative overload, inefficient workflows, burnout, and accelerating retir...
BACKGROUND: The design of mRNA drugs involves a complex and high-dimensional optimization of sequence elements to balance stability, translation effic...
INTRODUCTION: Lung cancer is commonly associated with smoking. However, if considered separately, lung cancer in never-smokers (LCINS) is the seventh ...
Refactoring is crucial for ensuring the long-term quality, readability, and maintainability of software code in evolving systems. The conventional met...
Despite strong evidence supporting the use of trauma-focused evidence-based psychotherapies (EBPs) to treat posttraumatic stress disorder (PTSD), heal...
OBJECTIVE: This study aimed to investigate how shift work and prolonged working hours affect mental fatigue under real-world working conditions, focus...
Student dropout in higher education creates academic and socio-economic challenges for institutions and students. Effective early prediction models ar...
Deep learning has notably advanced the field of liquid chromatography-mass spectrometry-based proteomics. Accurate prediction of peptide retention tim...
Incentivization in clinical trial participation can be challenging, with many studies failing to meet recruitment or retention goals despite tradition...
Large language models (LLMs) are increasingly applied in clinical communication, yet their reliability depends on high-quality conversational corpora....