Results 91 to 100 of about 41,926 (264)

Patient Dropout from Opioid Substitution Treatment

Medical & Clinical Research, 2019
Opioid Substitution Treatment (OST) is an established treatment for opioid dependence. In New Zealand, OST programs are regulated by the Ministry of Health (2014) and Methadone and Buprenorphine/Naloxone (Suboxone) are the primary medications. Retention on OST is a key indicator for stabilisation of patients with opioid dependence.
openaire   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

Progressive resistance training in patients with hip dysplasia: A feasibility study

Journal of Rehabilitation Medicine, 2018
Objectives: To examine whether progressive resistance training is feasible in patients with symptomatic hip dysplasia scheduled for periacetabular osteotomy.
Louise Mortensen, Jeppe Schultz, Anton Elsner, Stig S. Jakobsen, Kjeld Søballe, Julie S. Jacobsen, Signe Kierkegaard, Ulrik Dalgas, Inger Mechlenburg   +8 more
doaj   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Nicotinamide riboside and pterostilbene reduces markers of hepatic inflammation in NAFLD: A double‐blind, placebo‐controlled clinical trial

Hepatology, EarlyView., 2022
NRPT 1X reduces ALT and ceramide 14:0 in 65% of subjects as compared to only 28% in the placebo group. Abstract Background and Aims The prevalence of NAFLD is increasing globally and on a path to becoming the most frequent cause of chronic liver disease. Strategies for the prevention and treatment of NAFLD are urgently needed.
Ryan W. Dellinger, Holly E. Holmes, Tina Hu‐Seliger, Rodney W. Butt, Stephen A. Harrison, Dariush Mozaffarian, Oliver Chen, Leonard Guarente   +7 more
wiley   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Obtaining personalized predictions from a randomized controlled trial on Alzheimer’s disease

Scientific Reports
The purpose of this article is to infer patient level outcomes from population level randomized control trials (RCTs). In this pursuit, we utilize the recently proposed synthetic nearest neighbors (SNN) estimator.
Dennis Shen, Anish Agarwal, Vishal Misra, Bjoern Schelter, Devavrat Shah, Helen Shiells, Claude Wischik   +6 more
doaj   +1 more source

Prediction of therapeutic dropout in patients with addictions: Development and validation of the Predictors of Dropout from Addiction Treatment (PDAT) scale

PLOS One
Background Withdrawal from addiction treatment is a frequent but difficult-to-predict contingency. We clarify and contextualize the concept of dropouts in addiction treatment, as well as the external and internal elements that most frequently lead to such dropouts.
Carlos Miguel Sirvent-Ruiz, María Miranda, María de la Villa Moral-Jiménez   +2 more
openaire   +5 more sources