Results 171 to 180 of about 2,164,097 (306)

Deep Learning for AD Risk Screening and Progression Prediction

Advanced Science, EarlyView.
A pretrained MRI‐based deep learning model generalizes from Western cohorts to an independent Chinese cohort, detects Alzheimer's disease with high sensitivity, and identifies elevated AD risk years before diagnosis. Its risk scores align with cognition and plasma biomarkers, and individualized brain risk maps uncover clinically distinct subtypes ...
Bin Lu, Yan‐Rong Chen, Rui‐Xian Li, Ming‐Kai Zhang, Shao‐Zhen Yan, Guan‐Qun Chen, Jing‐Hua Wang, Wen‐Hui Chai, Francisco Xavier Castellanos, Paul M. Thompson, Jie Lu, Ying Han, Chao‐Gan Yan   +12 more
wiley   +1 more source

Trajectories of Persistent Exposure to Self-Harm-Encouraging Websites and Subsequent Mental Health Outcomes in US Youth: Longitudinal Cohort Study. [PDF]

JMIR Ment Health
Mitchell KJ, Gewirtz-Meydan A, Banyard V.   +2 more
europepmc   +1 more source

Early‐Life Polyethylene Microplastic Exposure Exacerbates ADHD‐Like Behaviors in Mice via PI3K/AKT1/Nrf2 Signaling: Evidence From the Pilot Cohort and Multi‐Omics Analyses

Advanced Science, EarlyView.
Circulating polyethylene microplastic burden is positively associated with heightened ADHD symptom severity and systemic redox‐inflammatory imbalance in children. Mechanistic investigation in a developmental co‐exposure mouse model further demonstrates that microplastics aggravate ADHD‐like behaviors, dopaminergic dysregulation, and oxidative ...
Yufan Luo, Ruijin Xie, Hua Xu, Xue Xiao, Wei Xiao, Qiyang Pan, Shengjie Xu, Li Liu, Zeliang Xiao, Yue Zhou, Chenyu Sun, Yu Wu, Yueying Liu   +12 more
wiley   +1 more source

Rehab and Recovery Mental Health Unit St. John’s Hospital Campus, Approved Centre Inspection Report 24 – 27 October 2017

, 2018
Section 51(1)(a) of the Mental Health Act 2001 (the 2001 Act) states that the principal function of the Inspector shall be to “visit and inspect every approved centre at least once a year in which the commencement of this section falls and to visit and ...
Mental Health Commission (MHC)
core  

Enhancing Elderly Health Through Physical Activities: Insights From a Global Bibliometric Review, 1900–2023

AGING MEDICINE, EarlyView.
Bibliometric analysis reveals rising global research on physical activity and elderly health, dominated by developed nations. Key hotspots include healthy aging, physical activity's mental health benefits, and VR exercise interventions. Promoting physical activity is vital for healthy aging, requiring greater technology integration and research from ...
Hongman Wang, Bo Xie, Can Liu, Yifan Song   +3 more
wiley   +1 more source

Development and validation of the Ottawa disordered eating screen (ODES): a brief screening tool for service and surveillance. [PDF]

BMC Public Health
Obeid N, Ryall S, McVey G, Bondy SJ, Buchholz A, Spettigue W, Goldfield G, Mistry N, Drouin S, Cooper M, Major S, Hamilton H, Boak A, Norris ML.   +13 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Linn Dara Child & Adolescent Mental Health In-patient Unit, Cherry Orchard Approved Centre Inspection Report, 7 – 10 March 2017

, 2017
Section 51(1)(a) of the Mental Health Act 2001 (the 2001 Act) states that the principal function of the Inspector shall be to “visit and inspect every approved centre at least once a year in which the commencement of this section falls and to visit and ...
Mental Health Commission (MHC)
core  

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Adolescents' Lived Experiences of Social Media on Perceived Body Image: A Qualitative Synthesis of Evidence. [PDF]

Int J Ment Health Nurs
Whibley I, Pearson M.
europepmc   +1 more source