A5062995717- Advanced Neuroimaging Techniques and Applications
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- MRI in cancer diagnosis
- Cerebrovascular and Carotid Artery Diseases
- Bioinformatics and Genomic Networks
- CAR-T cell therapy research
- Cardiovascular Health and Disease Prevention
- Social Media in Health Education
- Folate and B Vitamins Research
- Genetic Mapping and Diversity in Plants and Animals
- Misinformation and Its Impacts
- Musculoskeletal Disorders and Rehabilitation
- Music History and Culture
- Alcohol Consumption and Health Effects
- Digital Mental Health Interventions
- Digital Marketing and Social Media
- Advanced MRI Techniques and Applications
- Dementia and Cognitive Impairment Research
- Neurological and metabolic disorders
- Shoulder Injury and Treatment
- Customer Service Quality and Loyalty
- HER2/EGFR in Cancer Research
- Chromosomal and Genetic Variations
- Liver Disease Diagnosis and Treatment
Beth Israel Deaconess Medical Center
2023-2025
Harvard University
2022-2025
China Medical University
2025
Army Medical University
2024
University of Maryland, Baltimore
2020-2023
Shanghai First Maternity and Infant Hospital
2022
Tongji University
2022
Dana-Farber Cancer Institute
2022
Georgia Southern University
2017-2021
Xi'an University of Technology
2021
Abstract Background and Aims Tobacco smoking is a risk factor for impaired brain function, but its causal effect on white matter aging remains unclear. This study aimed to measure the of tobacco aging. Design Mendelian randomization (MR) analysis using two non‐overlapping data sets (with without neuroimaging data) from UK Biobank (UKB). The group exposed control consisted current smokers never smokers, respectively. Our main method was generalized weighted linear regression with other...
Abstract Although digital health solutions are increasingly popular in clinical psychiatry, one application that has not been fully explored is the utilization of survey technology to monitor patients outside clinic. Supplementing routine care with information collected “clinical whitespace” between visits could improve for severe mental illness. This study evaluated feasibility and validity using online self-report questionnaires supplement in-person evaluations persons without psychiatric...
Background: In Ethiopia, orthopaedic services are limited, and many injured children undergo traditional bonesetting (TBS) despite its association with limb- life-threatening complications. We sought to identify the risk factors for amputation a prolonged hospitalization of >7 days in who presented hospitals after undergoing TBS. Methods: Over 15-month period, we prospectively enrolled 8 Ethiopian Separately each outcome (amputation hospitalization), used multivariable logistic regression...
Background: Elevated blood pressure (BP) is a modifiable risk factor associated with cognitive impairment and cerebrovascular diseases. However, the causal effect of BP on white matter brain aging remains unclear. Methods: In this study, we focused N = 228 473 individuals European ancestry who had genotype data clinical measurements available (103 929 men 124 544 women, mean age 56.49, including 16 901 participants neuroimaging available) collected from UK Biobank (UKB). We first established...
Abstract Elevated arterial blood pressure (BP) is a common risk factor for cerebrovascular and cardiovascular diseases, but no causal relationship has been established between BP cerebral white matter (WM) integrity. In this study, we performed two‐sample Mendelian randomization (MR) analysis with individual‐level data by defining two nonoverlapping sets of European ancestry individuals (genetics–exposure set: N = 203,111; mean age 56.71 years, genetics–outcome 16,156; 54.61 years) from UK...
As a pedagogical demonstration of Twitter data analysis, case study HIV/AIDS-related tweets around World AIDS Day, 2014, was presented. This examined if users from countries with various income levels responded differently to Day. The performance support vector machine (SVM) models as classifiers relevant evaluated. A manual coding 1,826 randomly sampled original November 30 through December 2, 2014 completed. Logistic regression applied analyze the association between Bank-designated level...
Poor glycemic control with elevated levels of hemoglobin A1c (HbA1c) is associated increased risk cognitive impairment, potentially varying effects between sexes. However, the causal impact poor on white matter brain aging in men and women uncertain.
Tobacco smoking is an addictive behavior that supports nicotine dependence and independent risk factor for cancer other illnesses. Its neurogenetic mechanisms are not fully understood but may act through alterations in the cerebral white matter (WM). We hypothesized vertical pleiotropic pathways, where genetic variants influence a trait turn influences another trait, link factors, integrity of WM, addiction. tested this hypothesis using individual WM measured by fractional anisotropy (FA),...
Background: Chimeric antigen receptor (CAR)-T cell therapy (tx) is approved for treatment of r/r MM. However, prolonged product manufacturing times and a need longer duration response are major obstacle in this population, necessitating fast manufacture reliable durable CAR-T product. Aims: Herein we report updated clinical data from Phase I trial assessing the fully human B-cell maturation (BCMA) PHE885 adult patients (pts) with Methods: This multicenter, open-label study (NCT04318327)...
Abstract Background Elevated blood pressure (BP) is a modifiable risk factor associated with cognitive impairment and cerebrovascular diseases. However, the causal effect of BP on white matter (WM) brain aging remains unclear. Methods In this study, we focused N=219,968 non-pregnant, family-unrelated individuals European ancestry who had genotype data two non-null clinical measurements available (99,532 male 120,436 female, mean age=56.55, including 16,901 participants neuroimaging...
Social media platforms have become accessible resources for health data analysis. However, the advanced computational techniques involved in big text mining and analysis are challenging public analysts to apply. This study proposes explores feasibility of a novel yet straightforward method by regressing outcome interest on aggregated influence scores association and/or classification analyses based generalized linear models. The reduces document term matrix transforming into continuous...
APOE4 is a strong genetic risk factor of Alzheimer's disease and associated with changes in metabolism. However, the interactive relationship between plasma metabolites on brain remains largely unknown.In UK Biobank, we investigated moderation effects 249 derived from nuclear magnetic resonance spectroscopy whole-brain white matter integrity, measured by fractional anisotropy using diffusion imaging.The increase concentration metabolites, mainly LDL VLDL, decrease integrity (b= -0.12, CI=...
This study aims to determine the overall incidence of venous thromboembolism (VTE) following shoulder arthroscopy and define potential risk factors associated with its development that may help guidelines for use thromboprophylaxis.A systematic review was performed using PubMed, Embase, Web Science, CINAHL, Cochrane databases per PRISMA guidelines. The search terms consisted variations "Venous Thromboembolism" "Shoulder Arthroscopy." Information regarding indication, factors, outcomes,...
Abstract The rapid development of single-cell sequencing provides unparalleled opportunity for delineating the heterogeneous characteristics individual cells, while current methodologies fall short in accurately deciphering origins cellular heterogeneity and pinpointing states cell fate decisions. In this study, we introduce a novel approach termed Single-cell Reinforcement Learning (scRL) by integrating framework reinforcement learning into data analysis with assistance an actor-critic...
The advent of simultaneously collected imaging-genetics data in large study cohorts provides an unprecedented opportunity to assess the causal effect brain imaging traits on externally measured experimental results (e.g., cognitive tests) by treating genetic variants as instrumental variables. However, classic Mendelian Randomization methods are limited when handling high-throughput exposures identify effects. We propose a new framework jointly select variables and exposures, then estimate...