A5078688993- Childhood Cancer Survivors' Quality of Life
- Palliative Care and End-of-Life Issues
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Ethics and Legal Issues in Pediatric Healthcare
- Bayesian Methods and Mixture Models
- Family and Patient Care in Intensive Care Units
- Mental Health Research Topics
- Sleep and Wakefulness Research
- Neuroblastoma Research and Treatments
- Genetic and phenotypic traits in livestock
- Statistical Methods in Clinical Trials
- Genetic Associations and Epidemiology
- Advanced Neuroimaging Techniques and Applications
- Optimal Experimental Design Methods
- Neuroendocrine Tumor Research Advances
- Radiomics and Machine Learning in Medical Imaging
- Renal cell carcinoma treatment
- Genomics and Rare Diseases
- Advanced Statistical Modeling Techniques
- Advanced Statistical Methods and Models
- BRCA gene mutations in cancer
- Gene expression and cancer classification
- Sentiment Analysis and Opinion Mining
- Acute Kidney Injury Research
St. Jude Children's Research Hospital
2017-2024
Daiichi Sankyo (United States)
2024
Didi Chuxing (China)
2024
Pennsylvania State University
2016-2023
University of North Carolina at Chapel Hill
2014-2021
Chinese University of Hong Kong
2010-2013
Binzhou University
2008
China University of Mining and Technology
2008
Tianjin University
2004
Brain structural covariance networks (SCNs) composed of regions with correlated variation are altered in neuropsychiatric disease and change age. Little is known about the development SCNs early childhood, a period rapid cortical growth. We investigated maturational networks, including default, dorsal attention, primary visual sensorimotor longitudinal population 118 children after birth to 2 years old compared them intrinsic functional connectivity networks. found that all exhibit strong...
Children's urban air pollution exposures result in systemic and brain inflammation the early hallmarks of Alzheimer's disease (AD). The apolipoprotein E (APOE) ε4 allele is most prevalent genetic risk for AD. We assessed whether APOE healthy children modulates cognition, olfaction, metabolic indices. Wechsler Intelligence Scale Children (WISC-R) University Pennsylvania Smell Identification Test were administered to 50 Mexico City Metropolitan Area (13.4 ± 4.8 years, 28 ε3 22 ε4)....
Individual differences in neuroanatomy are associated with intellectual ability and psychiatric risk. Factors responsible for this variability remain poorly understood. We tested whether 17 major demographic obstetric variables were individual brain volumes 756 neonates assessed MRI. Gestational age at MRI, sex, gestational birth, birthweight the most significant predictors, explaining 31% to 59% of variance. Unexpectedly, earlier born babies had larger brains than later after adjusting...
Abstract Background The field of pediatric palliative oncology is newly emerging. Little known about the characteristics and illness experiences children with cancer who receive care (PC). Methods A retrospective cohort study 321 patients enrolled in PC died between 2011 2015 was conducted at a large academic center using comprehensive standardized data extraction tool. Results majority received experimental therapy (79.4%), 40.5% on phase I trial. Approximately one‐third cancer‐directed...
AbstractWe propose a Bayesian generalized low-rank regression model (GLRR) for the analysis of both high-dimensional responses and covariates. This development is motivated by performing searches associations between genetic variants brain imaging phenotypes. GLRR integrates low rank matrix to approximate coefficient dynamic factor covariance Local hypothesis testing developed identify significant covariates on responses. Posterior computation proceeds via an efficient Markov chain Monte...
Factor analysis is a popular statistical technique for multivariate data analysis. Developments in the structural equation modeling framework have enabled use of hybrid confirmatory/exploratory approaches which factor-loading structures can be explored relatively flexibly within confirmatory factor (CFA) framework. Recently, Muthén & Asparouhov proposed Bayesian (BSEM) approach to explore presence cross loadings CFA models. We show that issue determining patterns may formulated as variable...
Brentuximab vedotin, an effective anti-CD30 antibody-drug conjugate approved for use in adults with classical Hodgkin lymphoma (HL), was introduced this frontline trial to reduce prescribed radiation children and adolescents HL.Open-label, single-arm, multicenter patients (age ≤ 18 years) stage IIB, IIIB, or IV HL conducted. vedotin replaced each vincristine the OEPA/COPDac (vincristine, etoposide, prednisone, doxorubicin/cyclophosphamide, vincristine, dacarbazine) regimen according...
Background Hospitalized pediatric hematology‐oncology (PHO) patients have frequent clinical deterioration events (CDE) requiring intensive care unit (ICU) admission, particularly in resource‐limited settings. The objective of this study was to describe CDEs hospitalized PHO Latin America and identify event‐level center‐level risk factors for mortality. Methods In 2017, the authors implemented a prospective registry CDEs, defined as unplanned transfers higher level care, use ICU‐level...
Background Assessing patient-reported outcomes (PROs) through interviews or conversations during clinical encounters provides insightful information about survivorship. Objective This study aims to test the validity of natural language processing (NLP) and machine learning (ML) algorithms in identifying different attributes pain interference fatigue symptoms experienced by child adolescent survivors cancer versus judgment PRO content experts as gold standard validate NLP/ML algorithms....
We compare the performances of well-known frequentist model fit indices (MFIs) and several Bayesian selection criteria (MCC) as tools for cross-loading in factor analysis under low to moderate sample sizes, possible violations distributional assumptions. The considered include Bayes (BF), Information Criterion (BIC), Deviance (DIC), a leave-one-out with Pareto smoothed importance sampling (LOO-PSIS), variable method using spike-and-slab prior (SSP; Lu, Chow, & Loken, 2016). Simulation...
Background High‐quality oncology care is marked by skillful communication, yet little known about patient and family communication perceptions or content preferences. Our study sought to elicit pediatric parent of early cancer establish whether informational needs were met identify opportunities for enhanced throughout care. Method An original survey instrument was developed, pretested, administered 129 patients, age 10‐18 years, their parents at 3 centers between 2011 2015. Statistical...
Background: Racial and ethnic disparities in the provision of end-of-life care are well described adult oncology literature. However, impact racial at end life context pediatric remains poorly understood. Objective: To investigate associations between experiences race/ethnicity for patients with cancer. Methods: A retrospective cohort study was conducted on 321 children cancer enrolled a palliative service an urban who died 2011 2015. Results: Compared to white patients, black were more...
Background The early integration of palliative care significantly improves quality life for children with cancer. However, cultural, structural, and socioeconomic barriers can delay the into cancer care, particularly in low‐income middle‐income countries. To date, little is known regarding timing to Eurasia. Methods Assessing Doctors' Attitudes on Palliative Treatment (ADAPT) survey evaluates physician perceptions pediatric oncology This evidence‐based was adapted regional context;...
The application of deep learning techniques to the detection and automated classification Alzheimer's disease (AD) has recently gained considerable attention. rapid progress in neuroimaging sequencing enabled generation large-scale imaging genetic data for AD research. In this study, we developed a approach, IGnet, using both magnetic resonance (MRI) data. proposed approach integrates computer vision (CV) natural language processing (NLP) techniques, with three-dimensional convolutional...
Abstract This article aims to develop a semiparametric latent variable model, in which outcome variables are related explanatory and covariates through an additive structural equation formulated by series of unspecified smooth functions. The Bayesian P-splines approach, together with Markov chain Monte Carlo algorithm, is proposed estimate functions, unknown parameters, the model. performance developed methodology demonstrated simulation study. An illustrative example analyzing bone mineral...
Abstract Background In the U.S., more children die from cancer than any other disease, and one third in hospital setting. These data have been replicated even subpopulations of with enrolled on a palliative care service. Children who high-acuity inpatient settings often experience suffering at end life, increased psychosocial morbidities seen their bereaved parents. Strategies to preemptively identify are likely not explored. Materials Methods A standardized tool was used gather demographic,...
Patients with cancer are increasingly offered genomic sequencing, including germline testing for predisposition or other disorders. Such is unfamiliar to patients and families, clear communication needed introduce concepts convey risk benefit information.Parents of children were the opportunity have their children's tumor examined clinical sequencing. Families introduced study a 2-visit informed consent model. Baseline genetic knowledge self-reported literacy/numeracy collected before...