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David D. Williams

Observed names: DAVID D. WILLIAMS, David D Williams, David Williams, Williams, David D.
ORCID: 0000-0003-0501-3751
Observed ORCID: 0000-0003-0501-3751
OpenAlex ID: A5101471207
Species-Specific Peptide Ligands for the Detection of Bacillus anthracis Spores
2003 · David D. Williams, Orsolya Benedek, et al. · Applied and Environmental Microbiology · 84
Harnessing Teams and Technology to Improve Outcomes in Infants With Single Ventricle
2016 · Girish Shirali, Lori Erickson, et al. · Circulation Cardiovascular Quality and Outcomes · 27
High hemoglobin A1c variability is associated with early risk of microalbuminuria in children with T1D
2015 · Sripriya Raman, Hongying Dai, et al. · Pediatric Diabetes · 25
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How Are Neonatology Fellows Trained for Antenatal Periviability Counseling?
2017 · David Williams, Brian Carter, et al. · American Journal of Perinatology · 20
An “All-Data-on-Hand” Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study
2023 · David D Williams, Diana Ferro, et al. · JMIR Diabetes · 16
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Longitudinal associations between family conflict, parent engagement, and metabolic control in children with recent-onset type 1 diabetes
2021 · Hannah Case, David D Williams, et al. · BMJ Open Diabetes Research & Care · 14
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Association of HbA1c to BOLUS Scores Among Youths with Type 1 Diabetes
2016 · Mark A. Clements, Stephen A. DeLurgio, et al. · Diabetes Technology & Therapeutics · 14
The Glycemia Risk Index Predicts Performance of Diabetes Self-Management Habits in Youth With Type 1 Diabetes Mellitus
2024 · Kelsey Panfil, Craig A. Vandervelden, et al. · Journal of Diabetes Science and Technology · 10
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A New Paediatric Diabetes Knowledge Test – M-WIKAD Development and Factor Analysis
2019 · Sarah Tsai, Division of Pediatric Endocrinology, Children’s Mercy Kansas City, Kansas City, MO, USA, et al. · touchREVIEWS in Endocrinology · 10
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Prevalence of positive suicide risk screens among adolescents with type 1 diabetes (T1D)
2020 · Shayla A. Sullivant, Andrea Bradley-Ewing, et al. · Journal of Psychosomatic Research · 8
Predicting and Ranking Diabetic Ketoacidosis Risk Among Youth with Type 1 Diabetes with a Clinic-to-Clinic Transferrable Machine Learning Model
2025 · Craig Vandervelden, Brent Lockee, et al. · Diabetes Technology & Therapeutics · 6
Correlation Between the Glycemia Risk Index and Longitudinal Hemoglobin A1c in Children and Young Adults With Type 1 Diabetes
2024 · Kelsey Panfil, Jacob M. Redel, et al. · Journal of Diabetes Science and Technology · 5
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1303-P: Comparative Performance of a Recurrent Neural Network (RNN) and Logistic Regression (LR) Model to Predict Diabetic Ketoacidosis (DKA) among Youth Postdiagnosis with Type 1 Diabetes (T1D)
2020 · DAVID D. WILLIAMS, SARINA DASS, et al. · Diabetes · 4
Establishment of a Diabetes-Tailored Data Intelligence Platform Enhances Clinical Care, Enables Risk-Based Monitoring, and Facilitates Population-Health-Based Approaches at a Pediatric Diabetes Network
2025 · Brent Lockee, Craig A. Vandervelden, et al. · Journal of Diabetes Science and Technology · 3
Toward a Clinically Actionable, Electronic Health Record–Based Machine Learning Model to Forecast 90-Day Change in Hemoglobin A1c in Youth With Type 1 Diabetes: Feasibility and Model Development Study
2025 · Erin M Tallon, David D Williams, et al. · JMIR Diabetes · 3
Recognizing Complications in Youth With Diabetes Admitted With Diabetic Ketoacidosis Versus Hyperglycemic Hyperosmolar State
2024 · Erica Zarse, Michelle M. Knoll, et al. · Journal of Pediatric Health Care · 2
Mealtime Insulin BOLUS Score More Strongly Predicts HbA1c Than the Self-Care Inventory in Youth With Type 1 Diabetes
2023 · Jordan Christie, Mark A. Clements, et al. · Journal of Diabetes Science and Technology · 2
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Adverse Childhood Experiences Among Immigrants and their Children
2018 · Keith J. Martin, John D. Cowden, et al. · PEDIATRICS · 2
National Landscape of Underrepresented in Medicine Visiting Medical Student Programs in Pediatrics
2025 · Tyler K. Smith, Rebecca Blankenburg, et al. · Academic Pediatrics · 1
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68-OR: Artificial Intelligence and Disparities in Pediatric Type 1 Diabetes Care: Predictive Model Performance Varies by Age and Sex
2021 · DIANA FERRO, DAVID D. WILLIAMS, et al. · Diabetes · 1
Utility of thyroid nodule to thyroid lobe volume ratio to measure fine needle aspiration cytologic malignancy risk of thyroid nodules in the pediatric population
2026 · Frantzlee LaCrete, Blake Welker, et al. · International Journal of Pediatric Otorhinolaryngology
Assessing Neighborhood Deprivation Reveals Rural-Urban Disparities in CGM Access Among Children With Type 1 Diabetes
2025 · Daniel R. Tilden, Christie A. Befort, et al. · Diabetes Care
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Recent Advances of Integrative Bio-Omics Technologies to Improve Type 1 Diabetes (T1D) Care
2021 · Nisha Karwal, Megan Rodrigues, et al. · Applied Sciences
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Evaluation of Turner Syndrome International Consensus Guideline Compliance in Multiple Subspecialty Clinics Verses a Coordinated Multidisciplinary Clinic Format
2021 · Benjamin Donald Hoag, Sarah J L Tsai, et al. · Journal of the Endocrine Society
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Works count: 29
Citation count: 257
H-index: 9
I10-index: 9
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