Psychiatry

Addictions

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

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Preliminary evaluation of deep learning for first-line diagnostic prediction of tumor mutational status.

The detection of tumour gene mutations by DNA or RNA sequencing is crucial for the prescription of e...

Nitric oxide releasing polyvinyl alcohol and sodium alginate hydrogels as antibacterial and conductive strain sensors.

Conductive hydrogels have promising applications in flexible electronic devices and artificial intel...

Behind the ChatGPT Hype: Are Its Suggestions Contributing to Addiction?

ChatGPT has been a frequent topic of discussion lately. All over the Internet, from YouTube to blogs...

Ultrastretchable High-Conductivity MXene-Based Organohydrogels for Human Health Monitoring and Machine-Learning-Assisted Recognition.

Conductive hydrogels as promising candidates of wearable electronics have attracted considerable int...

AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism.

The identification of drug-target relations (DTRs) is substantial in drug development. A large numbe...

How people reason with counterfactual and causal explanations for Artificial Intelligence decisions in familiar and unfamiliar domains.

Few empirical studies have examined how people understand counterfactual explanations for other peop...

Message Passing Neural Networks Improve Prediction of Metabolite Authenticity.

Cytochrome P450 enzymes aid in the elimination of a preponderance of small molecule drugs, but can g...

Investigations into the use of machine learning to predict drug dosage form design to obtain desired release profiles for 3D printed oral medicines.

Three-dimensional (3D) printing, digitalization, and artificial intelligence (AI) are gaining increa...

Expectile Neural Networks for Genetic Data Analysis of Complex Diseases.

The genetic etiologies of common diseases are highly complex and heterogeneous. Classic methods, suc...

Explainable deep learning for insights in El NiƱo and river flows.

The El NiƱo Southern Oscillation (ENSO) is a semi-periodic fluctuation in sea surface temperature (S...

Hybrid Feature Fusion-Based High-Sensitivity Fire Detection and Early Warning for Intelligent Building Systems.

High-sensitivity early fire detection is an essential prerequisite to intelligent building safety. H...

A deep learning method to detect opioid prescription and opioid use disorder from electronic health records.

OBJECTIVE: As the opioid epidemic continues across the United States, methods are needed to accurate...

Smartphones dependency risk analysis using machine-learning predictive models.

Recent technological advances have changed how people interact, run businesses, learn, and use their...

Audio-based Deep Learning Algorithm to Identify Alcohol Inebriation (ADLAIA).

BACKGROUND: Acute alcohol intoxication impairs cognitive and psychomotor abilities leading to variou...

Technique for Robotic Pancreaticojejunostomy.

BACKGROUND:: Minimally invasive, robotic techniques for hepatobiliary procedures offer the potential...

A strong and tough gelatin/polyvinyl alcohol double network hydrogel actuator with superior actuation strength and fast actuation speed.

Hydrogels are widely used in actuators that are applied in numerous fields such as multifunctional s...

Prediction of biphasic separation in CO absorption using a molecular surface information-based machine learning model.

Carbon dioxide capture technologies have become a focus to overcome global warming. Biphasic absorbe...

Using natural language processing to identify opioid use disorder in electronic health record data.

BACKGROUND: As opioid prescriptions have risen, there has also been an increase in opioid use disord...

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