Latest AI and machine learning research in addictions for healthcare professionals.
Polynomial graph filters have been widely used as guiding principles in the design of spectral Graph Neural Networks (GNNs). However, their reliance on pairwise network structures inherently constrains their capabilities. (1) Spectral GNNs tend to suffer from the over-smoothing or over-squashing issues as the polynomial order increases. (2) Overfitting may occur when a spectral filter memorizes a ...
Dissolving microneedles (DMNs) deliver therapeutic molecules by bypassing the stratum corneum upon skin insertion. While DMNs show potential for transdermal delivery, developing formulations with optimal critical quality attributes (CQAs), particularly mechanical properties ensuring effective skin insertion and drug release, remains challenging. Also, lack of standardized quality control methods h...
PURPOSE: Intraoperative hypotension and cardiac output (CO) reduction adversely affect outcomes and require cause-specific treatment against vasodilat...
Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by pain, swelling, stiffness, and loss of joint function, making early diagn...
Accurate prediction of soil potentially toxic metals (PTMs) and identifying their relationships with environmental drivers is essential for environmen...
OBJECTIVE: To explore the relationship between Frailty Index (FI) and Knee osteoarthritis (KOA) in Chinese people aged 45 and above. METHODS: Data on ...
BACKGROUND: Postoperative opioid use has the risk of dependence and diversion. We developed an opioid-sparing regimen and identified factors associate...
Drug-induced liver injury (DILI) remains one of the leading causes of drug development failure and post-marketing withdrawal. Despite recent advances ...
BACKGROUND: Youth e-cigarette use rose sharply between 2013 and 2024 in the United States, prompting widespread prevention campaigns at national, stat...
PURPOSE: To evaluate the effectiveness of ultrasound-guided thoracic paravertebral block (TPVB) combined with general anesthesia (GA) versus GA alone ...
BACKGROUND: Noncompliance with mental health referrals among US military personnel remains a significant barrier to care. Operational deployments and ...
Artificial Intelligence (AI) is transforming medicine, providing unprecedented opportunities to enhance diagnosis, prognosis, and treatment across all...
BACKGROUND: Digital health literacy (DHL) is the ability to locate, understand, evaluate, and apply health information in digital environments. It is ...
Tendinopathy is a musculoskeletal disorder characterized by pathological extracellular matrix remodeling, yet the associated biochemical alterations r...
Traditional paocai is a representative Chinese fermented vegetable that is typically produced through successive fermentation cycles. However, the mec...
Despite extensive research, traumatic brain injury (TBI) imposes significant mortality and morbidity burden globally. This narrative review provides a...
OBJECTIVES: Colonoscopy is an essential tool for diagnosing and treating colorectal diseases, with bowel preparation serving as a key determinant of i...
Recently, research into chatbots (also known as conversational agents, artificial intelligence agents, or voice assistants), which are computer applic...
BACKGROUND/AIMS: Standard withdrawal time (SWT) is a recognized colonoscopy quality metric but may not capture mucosal examination quality. We develop...
Effective freshness monitoring is essential for aquatic products to ensure food safety and reduce waste. To overcome the limitations of stability and ...