Psychiatry

Addictions

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

2,769 articles
Stay Ahead - Weekly Addictions research updates
Subscribe
Browse Specialties
Showing 337-357 of 2,769 articles
Physicochemical properties, antioxidant activities and microbial communities of Ethiopian honey wine, Tej.

Ethiopian honey wine, Tej, is spontaneously fermented traditional alcoholic beverage, usually made f...

Mortality-Risk Prediction Model from Road-Traffic Injury in Drunk Drivers: Machine Learning Approach.

BACKGROUND: Alcohol-related road-traffic injury is the leading cause of premature death in middle- a...

Machine learning-guided acyl-ACP reductase engineering for improved in vivo fatty alcohol production.

Alcohol-forming fatty acyl reductases (FARs) catalyze the reduction of thioesters to alcohols and ar...

Use of machine learning in prediction of granule particle size distribution and tablet tensile strength in commercial pharmaceutical manufacturing.

In the manufacturing of pharmaceutical Oral Solid Dosage (OSD) forms, Particle Size Distribution (PS...

VISPNN: VGG-inspired Stochastic Pooling Neural Network.

AIM: Alcoholism is a disease that a patient becomes dependent or addicted to alcohol. This paper aim...

Machine learning model for predicting Major Depressive Disorder using RNA-Seq data: optimization of classification approach.

Considering human brain disorders, Major Depressive Disorder (MDD) is seen as a lethal disease in wh...

Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes.

BACKGROUND: Many social media studies have explored the ability of thematic structures, such as hash...

Relation classification via BERT with piecewise convolution and focal loss.

Recent relation extraction models' architecture are evolved from the shallow neural networks to natu...

Sensory and flavor-aroma profiles of passion fruit juice fermented by potentially probiotic Lactiplantibacillus plantarum CCMA 0743 strain.

Several non-dairy probiotic beverages are already available to consumers and have been considered su...

A machine learning-based biological aging prediction and its associations with healthy lifestyles: the Dongfeng-Tongji cohort.

This study aims to establish a biological age (BA) predictor and to investigate the roles of lifesty...

A combination of support vector machine and voxel-based morphometry in adult male alcohol use disorder patients with cognitive deficits.

Cognitive performance deteriorates with drinking. However, the neural basis of cognitive deficits in...

Physically crosslinked PVA/graphene-based materials/aloe vera hydrogel with antibacterial activity.

Burn is a major skin injury that occurs worldwide. For second-degree burns, special treatment should...

Systematic review of Pharmacogenomics Knowledgebase evidence for pharmacogenomic links to the dopamine reward pathway for heroin dependence.

Genetics play an important role in opioid use disorder (OUD); however, few specific gene variants ha...

Single- versus multi-port robotic partial nephrectomy: a comparative analysis of perioperative outcomes and analgesic requirements.

Evidence supporting the safe use of the single-port (SP) robot for partial nephrectomy is scarce. Th...

Risk factors of osteoporosis in soldiers of the Armed Forces: A cross-sectional study from Western India.

BACKGROUND: Osteoporosis may result from risk factors such as smoking, alcohol, low body mass index,...

Study becomes insight: Ecological learning from machine learning.

The ecological and environmental science communities have embraced machine learning (ML) for empiric...

Future roles of artificial intelligence in early pain management of newborns.

The advent of increasingly sophisticated medical technology, surgical interventions, and supportive ...

An analytic framework using deep learning for prediction of traffic accident injury severity based on contributing factors.

Vulnerable road users (VRUs) are exposed to the highest risk in the road traffic environment. Analyz...

Machine learning prediction of dropping out of outpatients with alcohol use disorders.

BACKGROUND: Alcohol use disorder (AUD) is a chronic disease with a higher recurrence rate than that ...

Browse Specialties