Psychiatry

Addictions

Latest AI and machine learning research in addictions for healthcare professionals.

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Multi-omic deep learning identifies exercise-responsive ageing pathways in humans

Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molecular mechanisms through which exercise influences human biology remain poorly defined. Mechanistic progress has been limited by heritability-dominated signals, siloed single-omic analyses, and the lack of integrative models that connect genetic associations to causal, system-level pathways. We intro...

GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health

Nutritional interventions are important for managing chronic health conditions, but current computational methods provide limited support for personalized dietary guidance. We identify three key gaps: (1) dietary pattern studies often ignore real-world constraints such as socioeconomic status, comorbidities, and limited food access; (2) recommendation systems rarely explain why a particular food h...

Jan 26 2026 2601.18106v1
Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK Biobank

BackgroundThe pancreas is essential for metabolic homeostasis. Alterations in morphology and parenchymal integrity may impact proper function but are ...

Leveraging Pretrained Vision Transformers for classifying Alcohol Use Disorder using Raw Resting-State EEG

Alcohol Use Disorder (AUD) is a prevalent and debilitating neuropsychiatric condition characterized by compulsive alcohol consumption, impaired contro...

Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B production in vitro.

Aspergillus niger is an important species in the fungal community of many foods and is one of the most significant microorganisms used in biotechnolog...

Aug 2 2025 40381226
Fluorescent Microneedle Sensors Based on Tb@Hydrogen-Bonded Organic Frameworks for Real-Time Food Freshness Monitoring.

As crucial biomarkers of food spoilage, portable and real-time monitoring of the biogenic amines (BAs) is essential to ensuring food safety. In light ...

Jul 14 2025 40575964
Perspectives on How Sociology Can Advance Theorizing about Human-Chatbot Interaction and Developing Chatbots for Social Good

Recently, research into chatbots (also known as conversational agents, AI agents, voice assistants), which are computer applications using artificia...

Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models

Social determinants of health (SDoH) significantly influence health outcomes, shaping disease progression, treatment adherence, and health dispariti...

External Validation of an Algorithm to Guide Opioid Administration at the End of Surgery-Protocol for an Observational Cohort Study of the OPIAID Algorithm.

BACKGROUND: Despite advances in pain management, inadequate pain relief and opioid-related adverse events remain common challenges in perioperative ca...

Jul 1 2025 40550516
Identification and designing an analgesic opioid cyclic peptide from Defensin 4 of Mesobuthus martensii Karsch scorpion venom with more effectiveness than morphine.

Considering the limitations of use and side effects of existing analgesics, the discovery of new analgesics is necessary. Venoms of organisms are an i...

Jul 1 2025 40381507
Augmenting Common Spatial Patterns to deep learning networks for improved alcoholism detection using EEG signals.

One of the main risk factors for numerous health problems is excessive drinking. Alcoholism is a severe disorder that can affect a person's thinking a...

Jul 1 2025 40409035
People are not becoming "AIholic": Questioning the "ChatGPT addiction" construct.

Generative artificial intelligence (AI) chatbots such as ChatGPT have rapidly gained popularity in many daily life spheres, even sparking scholarly de...

Jul 1 2025 40073725
Exploring artificial intelligence (AI) Chatbot usage behaviors and their association with mental health outcomes in Chinese university students.

Technology dependence has long been a critical public health issue, especially among young people. With the development of AI chatbots, many individua...

Jul 1 2025 40147615
Development and preliminary testing of a secure large language model-based chatbot for brief alcohol counseling in young adults.

OBJECTIVE: Young adults face elevated risks from alcohol use yet encounter significant barriers to accessing evidence-based interventions. Large langu...

Jul 1 2025 40334327
Predicting Readiness to Engage in Psychotherapy of People with Chronic Pain Based on their Pain-Related Narratives Saar

Background. Chronic pain afflicts 20 % of the global population. A strictly biomedical mind-set leaves many sufferers chasing somatic cures and has ...

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder.

BACKGROUND: Early diagnosis and treatment of mental illnesses is hampered by the lack of reliable markers. This study used machine learning models to ...

Jun 15 2025 39701465
Mental Health Issues and 24-Hour Movement Guidelines-Based Intervention Strategies for University Students With High-Risk Social Network Addiction: Cross-Sectional Study Using a Machine Learning Approach.

BACKGROUND: The exponential growth of digital technologies and the ubiquity of social media platforms have led to unprecedented mental health challeng...

Jun 13 2025 40512996
The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge

We consider the problem of generalizable novel view synthesis (NVS), which aims to generate photorealistic novel views from sparse or even unposed 2...

Artificial intelligence approaches for anti-addiction drug discovery.

Drug addiction remains a complex global public health challenge, with traditional anti-addiction drug discovery hindered by limited efficacy and slow ...

Jun 11 2025 40401266
Human Heterogeneity Invariant Stress Sensing

Stress affects physical and mental health, and wearable devices have been widely used to detect daily stress through physiological signals. However,...

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