Results 71 to 80 of about 1,681,604 (218)

Evaluating Vaginal Microbiome Effects on Antiretroviral Exposure in the Female Genital Tract Using Pharmacometric and Machine Learning Approaches

Clinical Pharmacology &Therapeutics, EarlyView.
Antiretroviral pre‐exposure prophylaxis (PrEP) is less effective in women than expected, partly because drug exposure within the female genital tract is variable and may be influenced by the vaginal microbiome. We developed an integrated pharmacometrics and machine learning framework to evaluate associations between vaginal microbiome composition and ...
Diqin Yan, Lindsey B. Collins, Christopher Staley, Flavia Kiweewa Matovu, Pamala Jacobson, Melanie Nicol, Shen Cheng   +6 more
wiley   +1 more source

Evaluating Prediction Performance: A Simulation Study Comparing Penalized and Classical Variable Selection Methods in Low-Dimensional Data

Applied Sciences
Variable selection is important for developing accurate and interpretable prediction models. While classical and penalized methods are widely used, few simulation studies provide meaningful comparisons.
Edwin Kipruto, Willi Sauerbrei
doaj   +1 more source

Application of Machine Learning Approaches in Electrophoresis—A Comprehensive Review

ELECTROPHORESIS, EarlyView.
This review paper highlights key research on the applications of machine learning tools in electrophoresis. ABSTRACT The electrophoretic technique is widely used to analyze and purify charged molecules based on their size, shape, and charge using an electric field for various applications, including DNA fingerprinting, genetic research, disease ...
Umaeer Al Hammad, Aminul Islam Khan, Prashanta Dutta   +2 more
wiley   +1 more source

Explanation of somatic symptoms by mental health and personality traits: application of Bayesian regularized quantile regression in a large population study

BMC Psychiatry, 2019
Background Somatic syndrome is one of the remarkably prevalent issues in primary health care and subspecialty settings. We aimed to elucidate multidimensional associations between somatic symptoms with major mental problems and personality traits in the ...
Shayan Mostafaei, Kourosh Kabir, Anoshirvan Kazemnejad, Awat Feizi, Marjan Mansourian, Ammar Hassanzadeh Keshteli, Hamid Afshar, Saeed Masoud Arzaghi, Saeid Rasekhi Dehkordi, Peyman Adibi, Fataneh Ghadirian   +10 more
doaj   +1 more source

Sleep disturbance as a transdiagnostic marker of children's mental health difficulties: A network analysis of item‐level associations between different types of sleep problems and different behavioural and emotional symptoms

JCPP Advances, EarlyView.
Abstract Background Sleep disturbances are widely considered to be a transdiagnostic feature of common behavioural and emotional difficulties in childhood, yet most studies treat sleep as a single construct. Where studies have explored specific sleep problems to psychopathology in children, these tend to only include behavioural or emotional ...
Alina A. Marinca, Julia E. Michalek, Alice M. Gregory, Afia Ali, Jennifer Y. F. Lau   +4 more
wiley   +1 more source

Exploring the predictive role of personal identity in trait anxiety: network and Bayesian evidence from Chinese college students

Frontiers in Psychology
IntroductionPersonal identity, defined as the perceived continuity and coherence of the self over time, has been theorized to influence anxiety. This study investigates whether personal identity predicts trait anxiety and examines the mediating roles of ...
Ruizhi Huang, Ye Yuan, Ye Yuan, Ye Yuan, Huiqing Shen, Yuqi Sun, Zhilin Wang, Huilin Qiu, Jaesik Jeong, Wenjing Yan, Wenjing Yan, Ke Jiang, Ke Jiang   +12 more
doaj   +1 more source

Harnessing personal and social resources in managing internalising and externalising symptoms in children living in low‐resource settings

JCPP Advances, EarlyView.
Abstract Background Children growing up in low‐resource settings are at greater risk for lifelong psychiatric problems. They are both more likely to have risk factors for early psychopathology and to be less likely to seek help and engage support for these problems.
Julia E. Michalek, Kathryn Bates, Francois van Loggerenberg, Dennis Ougrin, Jennifer Y. F. Lau   +4 more
wiley   +1 more source

Regularized estimation of large-scale gene association networks using graphical Gaussian models [PDF]

, 2009
Graphical Gaussian models are popular tools for the estimation of (undirected) gene association networks from microarray data. A key issue when the number of variables greatly exceeds the number of samples is the estimation of the matrix of partial ...
Schäfer, Juliane, Krämer Nicole, Kraemer, Nicole, Schaefer, Juliane, Anne-Laure Boulesteix, Boulesteix, Anne-Laure, Nicole Krämer, Juliane Schäfer, Krämer, Nicole, Boulesteix Anne-Laure, Schäfer Juliane   +10 more
core   +1 more source

Apathy in Parkinson's Disease: Distinguishing Overlapping Symptoms Via Network Analysis

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Anxiety, fatigue, and excessive daytime sleepiness (EDS) frequently co‐occur in Parkinson's disease (PD) and can influence the clinical determination of apathy. Objective To distinguish patient‐reported apathy from other non‐motor symptoms.
Joseph Seemiller, Abhimanyu Mahajan, Christopher B. Morrow, Joseph F. McGuire, Dawn Bowers, Kelly A. Mills, Gregory M. Pontone   +6 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source