Results 171 to 180 of about 1,878,278 (369)

Comparison of the prevalence of substance use and psychiatric disorders between government‐ and self‐employed commercial drivers [PDF]

, 2003
Shih‐Ku Lin, Chao‐Hui Lee, Chun‐Hung Pan, Wei‐Hern Hu   +3 more
openalex   +1 more source

Substance-Induced Psychiatric Disorders, Epigenetic and Microbiome Alterations, and Potential for Therapeutic Interventions

Brain Sciences
Substance use disorders (SUDs) are complex biopsychosocial diseases that cause neurocognitive deficits and neurological impairments by altering the gene expression in reward-related brain areas.
Shabnam Nohesara, Hamid Mostafavi Abdolmaleky, Sam Thiagalingam   +2 more
doaj   +1 more source

Aging‐Driven Blood–Brain Barrier Dysfunction and Its Impact on CNS Cancer Susceptibility: A Comprehensive Narrative Review

Aging and Cancer, EarlyView.
Aging weakens the blood–brain barrier (BBB), increasing susceptibility to CNS cancers and complicating treatment. This review examines BBB deterioration, its impact on drug delivery, and potential interventions like targeting neuroinflammation and advanced therapies.
Quang La, Aiman Baloch, David F. Lo
wiley   +1 more source

Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning [PDF]

arXiv
Introduction: Substance use disorders (SUDs) have emerged as a pressing public health concern in the United States, with adolescent substance use often leading to SUDs in adulthood. Effective strategies are needed to stem this progression. To help fulfill this need, we developed a novel absolute risk prediction model for cannabis use disorder (CUD) for
arxiv  

The evaluation of treatment services and systems for substance use disorders [PDF]

, 2003
Brian Rush
openalex   +1 more source

From 2D to 3D gamma passing rate tolerance and action limits for patient‐specific quality assurance in volumetric‐modulated arc therapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background Volumetric modulated arc therapy (VMAT) requires an accurate patient‐specific quality assurance (PSQA) program. In clinical practice, this is usually performed using the γ‐index and the two‐dimensional gamma passing rate (2D %GP). A three‐dimensional (3D) index incorporating the patient anatomy could be more useful for the 3D dose ...
Christos Zarros, George Patatoukas, Nikos Kollaros, Marina Chalkia, Andromachi Kougioumtzopoulou, Vasilios Kouloulias, Kalliopi Platoni   +6 more
wiley   +1 more source

Validity of psychiatric diagnoses in patients with substance use disorders: Is the interview more important than the interviewer?

, 1995
Henry R. Kranzler, Ronald M. Kadden, Joseph A. Burleson, Thomas F. Babor, Andrew Apter, Bruce J. Rounsaville   +5 more
openalex   +1 more source

Behavioral therapies for co-occurring substance use and mood disorders [PDF]

, 2004
Kathleen M. Carroll
openalex   +1 more source

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Psychopathology Risk Transmission in Children of Parents With Substance Use Disorders [PDF]

, 2004
Duncan B. Clark, Jack R. Cornelius, David Wood, Michael M. Vanyukov   +3 more
openalex   +1 more source