Addictions

PsyGeNET: a knowledge platform on psychiatric disorders and their genes.

UNLABELLED: PsyGeNET (Psychiatric disorders and Genes association NETwork) is a knowledge platform f...

Neural networks for identifying drunk persons using thermal infrared imagery.

Neural networks were tested on infrared images of faces for discriminating intoxicated persons. The ...

Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment.

The paper presents a methodology for the analysis of functional changes in brain activity across dif...

Impact of robot-assisted laparoscopic prostatectomy on the management of general anesthesia: efficacy of blood withdrawal during a steep Trendelenburg position.

INTRODUCTION: Robot-assisted laparoscopic prostatectomy (RALP) is being increasingly used. However, ...

Functional outcomes after TORS for oropharyngeal cancer: a systematic review.

Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for orophary...

NeutralNet: an application of deep neural networks to pulse shape discrimination for use with accelerator-based neutron sources.

Recent works have implemented machine learning based solutions for many complex classification tasks...

Chronic Pain Prevalence, Opioid Use, and Primary Care Provider Opioid Prescription Patterns in the U.S. from 2017 to 2019 Derived from Medicaid Claims Data.

Chronic non-cancer pain (CNCP) is a major health concern in the United States, incurring substantial...

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 mo...

Developing risk stratification strategies and biomarkers for recurrent hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality, with high rates ...

The future of target-controlled infusion and new pharmacokinetic models.

PURPOSE OF REVIEW: To summarize recent developments in the understanding of the pharmacology of the ...

Correction to: Research on the selfefficacy and resilience of female graduate students in the era of artificial intelligence: analysis of the mechanism of mobile phone dependence, anxiety and mentoring relationship.

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 (BA...

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 e...

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 sev...

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 ana...

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 a...

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. W...

People are not becoming "AIholic": Questioning the "ChatGPT addiction" construct.

Generative artificial intelligence (AI) chatbots such as ChatGPT have rapidly gained popularity in m...

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 ma...

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 platform...

Artificial intelligence approaches for anti-addiction drug discovery.

Drug addiction remains a complex global public health challenge, with traditional anti-addiction dru...