A5086320992- Birth, Development, and Health
- Global Health Care Issues
- Neonatal Respiratory Health Research
- Climate Change and Health Impacts
- Air Quality and Health Impacts
- Asthma and respiratory diseases
- Gestational Diabetes Research and Management
- Pregnancy and Medication Impact
- Pregnancy and preeclampsia studies
- Food Security and Health in Diverse Populations
- Total Knee Arthroplasty Outcomes
- Respiratory viral infections research
- Geographic Information Systems Studies
- Pneumonia and Respiratory Infections
- Smoking Behavior and Cessation
- Cancer Risks and Factors
- Bariatric Surgery and Outcomes
- Antibiotic Use and Resistance
- Atherosclerosis and Cardiovascular Diseases
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
- COVID-19 epidemiological studies
- Employee Welfare and Language Studies
- Remote-Sensing Image Classification
- Child and Adolescent Health
University of Nevada, Reno
2020-2024
University of Exeter
2024
Alabama College of Osteopathic Medicine
2023
Duke University
2022
American Association of Gynecologic Laparoscopists
2021
University of California, San Diego
2021
Ottawa Hospital
2020
Indiana University Bloomington
2020
University of Ottawa
2018
National Institute for Occupational Safety and Health
2006
Objective Although the efficacy of mepolizumab in reducing exacerbations and oral corticosteroid (OCS) use severe asthma is well-established, real-world long-term effectiveness data are limited. This study evaluated impact treatment patients with over a 4-year follow-up period.
Abstract Background The accumulation of age‐associated cognitive deficits can lead to Mild Cognitive Impairment (MCI) and dementia. This is a major public health issue for the modern ageing population, as it impairs health, independence overall quality life. Keeping brain active during life has been associated with an increased reserve, therefore reducing risk impairment in older age. Previous research identified potential relationship between musicality cognition. Objectives Explore...
Following the recent popularity of Large Language Models (LLMs), several attempts have been made to extend them visual domain. From having a assistant that could guide us through unfamiliar environments generative models produce images using only high-level text description, vision-language model (VLM) applications will significantly impact our relationship with technology. However, there are many challenges need be addressed improve reliability those models. While language is discrete,...
Introduction Respiratory syncytial virus (RSV) is the leading cause of hospitalization among US infants. Characterizing service utilization during infant RSV hospitalizations may provide important information for prioritizing resources and interventions. Objective The objective this study was to describe procedures services received by infants hospitalized their first episode in season, addition what proportion died hospitalization. Methods In retrospective observational study, we analyzed...
Duchenne muscular dystrophy (DMD) is a rare neuromuscular disorder, and data on the impact of patients' race treatment outcomes health care resource utilization are lacking. To describe real-world among patients with DMD, by race, in Medicaid population. This was retrospective cohort study DMD Merative Multi-State Database between January 2017 June 2021. Patients were identified using validated algorithm included male at least 2 diagnoses (earliest diagnosis date = index date), aged 40 years...
Objective SLE is a multisystem autoimmune disease where periods of activity, often difficult to predict, can cause irreversible damage. This study aimed develop patient-centric predictive model using real-world data that identify patients with at higher risk hospitalisation compared the general population. Methods observational, retrospective analysis used from Georgians Organized Against Lupus (GOAL) cohort 2011 2013. The GOAL population-based collects yearly self-report surveys covering...
Household food insecurity (HFI) and gestational diabetes mellitus (GDM) are both common during pregnancy, yet it is unknown if these two factors related. We aimed to determine the independent joint associations between HFI, weight gain (GWG) GDM among pregnant women in USA.We used data from 592 National Children's Study, Initial Vanguard Study 2009 2014. HFI was assessed using Food Security Survey Module at first study visit; through questionnaires medical chart review. Logistic regression...
Caesarean delivery (C-section) may disrupt maternal-infant microbial transfer and alter immune system development subsequent risk for atopic dermatitis.Investigate the association between C-section dermatitis by age four examine potential sources of bias in relationship a large cohort study.Maternal child information was collected through Kaiser Permanente Northern California's (KPNC) integrated healthcare system. Data included electronic medical records, pharmacy databases, state birth...
Abstract Background The effect of heatwaves on adverse birth outcomes is not well understood and may vary by how are defined. study aims to examine acute associations between various heatwave definitions preterm early-term birth. Methods Using national vital records from 50 metropolitan statistical areas (MSAs) 1982 1988, singleton (< 37 weeks) births (37–38 were matched (1:1) controls who completed at least weeks or 39 gestation, respectively. Matching variables MSA, maternal race,...
Objective and Impact Statement . We use deep learning models to classify cervix images—collected with a low-cost, portable Pocket colposcope—with biopsy-confirmed high-grade precancer cancer. boost classification performance on screened-positive population by using class-balanced loss incorporating green-light colposcopy image pairs, which come at no additional cost the provider. Introduction Because majority of 300,000 annual deaths due cervical cancer occur in countries low- or...
Abstract Background Growing evidence suggests that maternal obesity may affect the intrauterine environment and increase a child's risk of developing asthma. We aim to investigate relationship between prepregnancy childhood asthma risk. Methods Cohorts children enrolled in Kaiser Permanente Northern California integrated healthcare system were followed from birth (2005–2014) age 4 ( n = 104,467), 6 63,084), or 8 31,006) using electronic medical records. Child's was defined ICD codes...
Background: Seasonal patterns of conception may confound acute associations between birth outcomes and seasonally varying exposures. We aim to evaluate four epidemiologic designs (time-stratified case-crossover, time-series, pair-matched case-control, time-to-event) commonly used study ambient temperature preterm births. Methods: conducted simulations assuming no effect on birth. generated pseudo-birth data from the observed seasonal in United States analyzed them relation temperatures using...
This study aimed to evaluate the association between intrapartum antibiotics (IABX) and asthma allergic rhinitis among children by ages 6, 8 10 years.Retrospective cohort.Data were collected though Kaiser Permanente Northern California's (KPNC) integrated healthcare system. Children eligible if they born in a KPNC hospital 1997 2012 stayed enrolled through age 6.Modified Poisson regressions with robust error variances used estimate risk ratios for IABX each outcome at follow-up during two...
Abstract Background Growing evidence for the effect of maternal obesity on childhood asthma motivates investigation mediating pathways. Objective To investigate if body mass index (BMI), gestational weight gain (GWG) and preterm birth mediate association risk. Methods We used electronic medical records from mother–child pairs enrolled in Kaiser Permanente Northern California integrated healthcare system. Children were followed their (2005–2014) until at least age 4 ( n = 95,723), 6 59,230)...
The approaches by which the machine learning and clinical research communities utilize real world data (RWD), including captured in electronic health record (EHR), vary dramatically. While researchers cautiously use RWD for investigations, ML healthcare teams consume public datasets with minimal scrutiny to develop new algorithms. This study bridges this gap developing validating ML-DQA, a quality assurance framework grounded best practices. ML-DQA is applied five projects across two...
Cross-sectional studies of total gestational weight gain (GWG) and perinatal outcomes have used different approaches to operationalize GWG adjust for duration gestation. Using birth records from California (2007-2017), Nevada (2010-2017), Oregon (2008-2017), we compared 3 commonly estimate associations between cesarean delivery, small-for-gestational-age birth, low (LBW): 1) the Institute Medicine-recommended ranges at a given week, 2) categories directly adjusting age as covariate, 3)...
Recent work has identified substantial disparities in generated images of different geographic regions, including stereotypical depictions everyday objects like houses and cars. However, existing measures for these have been limited to either human evaluations, which are time-consuming costly, or automatic metrics evaluating full images, unable attribute specific parts the images. In this work, we introduce a new set metrics, Decomposed Indicators Disparities Image Generation...
<title>Abstract</title> <bold>Background:</bold> The assessment of potential health effects switching from cigarette smoking to non-combustible tobacco products has important implications for public and regulatory decisions. Robust epidemiological evidence requires long-term follow-up a large number individuals. Real-world derived records the help fill gap in interim. To our knowledge, this is first study using individual-level healthcare claims data assess impact transitioning smokeless on...
Text toxicity detection systems exhibit significant biases, producing disproportionate rates of false positives on samples mentioning demographic groups. But what about in speech? To investigate the extent to which text-based biases are mitigated by speech-based systems, we produce a set high-quality group annotations for multilingual MuTox dataset, and then leverage these systematically compare speech- classifiers. Our findings indicate that access speech data during inference supports...