A5058932533- Diversity and Career in Medicine
- Viral Infections and Outbreaks Research
- Orthopedic Infections and Treatments
- Healthcare cost, quality, practices
- Viral Infections and Vectors
- COVID-19 epidemiological studies
- Pharmaceutical Practices and Patient Outcomes
- Artificial Intelligence in Healthcare and Education
- Disaster Response and Management
- Hematological disorders and diagnostics
- Cardiovascular Function and Risk Factors
- Climate Change and Health Impacts
- Pharmaceutical studies and practices
- Pulmonary Hypertension Research and Treatments
- COVID-19 and healthcare impacts
- Cardiovascular Disease and Adiposity
- Streptococcal Infections and Treatments
- Social Media in Health Education
- Dental Education, Practice, Research
- Anatomy and Medical Technology
- Global Security and Public Health
- Biomedical and Engineering Education
Brown University
2022-2025
University of Georgia
2022
Rhode Island Hospital
2022
International Medical Corps
2022
University of Massachusetts Chan Medical School
2022
Connecticut Children's Medical Center
2022
Abstract Background Studies of pediatric osteoarticular infections (OAIs) mostly focus on acute hematogenous osteomyelitis (AHO) and bacterial arthritis (ABA). A comprehensive descriptive analysis OAIs, including subacute, chronic, non-hematogenous types, is lacking. Methods detailed all OAIs was undertaken at two academic centers, Hasbro Children’s Hospital, Providence, RI, Nationwide Columbus, OH. Infections were classified as AHO (with or without suppurative arthritis), isolated ABA,...
As artificial intelligence and machine learning become increasingly influential in clinical practice, it is critical for future physicians to understand how such novel technologies will impact the delivery of patient care. We describe 2 trainee-led, multi-institutional datathons as an effective means teaching key data science skills medical trainees. offer insights on practical implementation analyze experiences gained lessons learned datathon initiatives. detail recent organized by MDplus,...
Ebola Virus Disease (EVD) causes high case fatality rates (CFRs) in young children, yet there are limited data focusing on predicting mortality pediatric patients. Here we present machine learning-derived prognostic models to predict clinical outcomes children infected with virus. Using retrospective from the Data Platform, investigated EVD West African outbreak 2014-2016. Elastic net regularization was used create a model for mortality. In addition external validation 2018-2020 epidemic...
Abstract Purpose Prior to COVID, thousands of medical school and residency applicants traversed their countries for in‐person interviews each year. However, data on the greenhouse gas emissions from is limited. This study estimated associated with explored applicant interview structure preferences. Methods From March June 2022, we developed distributed a nine‐question, website‐based survey collect information virtual schedule, demographics preference future format. We calculated theoretical...
Abstract Rapid diagnostic tools for children with Ebola virus disease (EVD) are needed to expedite isolation and treatment. To evaluate a predictive tool, we examined retrospective data (2014–2015) from the International Medical Corps Treatment Centers in West Africa. We incorporated statistically derived candidate predictors into 7-point Pediatric Risk Score. Evidence of bleeding or having known no contacts was positively associated an EVD diagnosis, whereas abdominal pain negatively...