Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
Recent advances in artificial intelligence have led to the development of generative models for de novo protein design. We compared 13 state-of-the-art generative protein models, assessing their ability to produce feasible, diverse, and novel protein monomers. Structural diffusion models generally create designs with higher confidence in predicted structures and more biologically plausible energy ...
BACKGROUND: Smoking is associated with higher complication and recurrence rates in ventral and inguinal hernia repairs, but evidence is fragmented. This study evaluated the efficacy of AI-based large language models (LLMs) for identifying literature on the impact of smoking on hernia repairs. METHODS: ChatGPT 4.0, ChatGPT 4o, Microsoft Copilot, and Google Gemini were instructed to search PubMed, E...
Benzo[a]pyrene (BaP), a ubiquitous environmental carcinogen predominantly found in tobacco smoke and air pollution, plays a pivotal role in head and n...
BACKGROUND: We aimed to build a serum proteomics-based model to predict primary nonresponse (PNR) to infliximab (IFX) in pediatric colonic inflammator...
Noise-induced hearing loss (NIHL) is a complex disorder arising from the interplay between noise, as well as contributions from other environmental an...
BACKGROUND: Spree Bar, a line of e-cigarette devices introduced in 2023, leverages 6-methylnicotine (6-MN) as its primary ingredient and is available ...
Depression (DEP) is a common yet underdiagnosed comorbidity in adults with type 2 diabetes mellitus (T2DM), worsening glycemic control and increasing ...
BACKGROUND: Early childhood caries (ECC) is a prevalent global oral health condition, exerting profound adverse effects on children's oral health, gen...
BACKGROUND: Nonhome discharge (NHD) after lower extremity bypass is associated with discharge delays, increased postdischarge complications, and reduc...
INTRODUCTION: Motivation-phase smoking treatment can increase treatment reach and abstinence in persons unmotivated to quit smoking. However, Motivati...
PURPOSE: Missing information is common in real-world claims data, particularly on behavioral confounders, for example, smoking. Often one category of ...
BACKGROUND AND OBJECTIVES: Low-grade systemic inflammation contributes to the pathophysiology of severe mental illness (SMI) in a substantial subset o...
OBJECTIVE: This study aimed to clarify the molecular mechanisms through which nicotine (Nic) aggravates ischemic stroke (IS), with an emphasis on infl...
BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural langu...
INTRODUCTION: Social media (SM) are major marketing platforms for e-cigarette product promotion, particularly among youth. While prior studies have es...
Esophageal squamous cell carcinoma (ESCC) remains a leading cause of cancer-related mortality, with early detection being challenging. Although endosc...
Deep learning is revolutionizing enzyme engineering through efficient residue redesign. Leveraging deep learning for enzyme engineering, we redesigned...
INTRODUCTION: Our existing knowledge on factors influencing vaping abstinence are still limited. The objective of this study was to build a machine le...
PURPOSE: Extranodal extension (ENE) is a biomarker in oropharyngeal carcinoma (OPC) but can only be diagnosed via surgical pathology. We applied an au...
BACKGROUND: Abdominal aortic aneurysm (AAA) is usually asymptomatic, but rupture carries up to 90% mortality. Ultrasound screening reduces rupture-rel...