Fellowship · St. Petersburg, FL
Sponsored by Johns Hopkins All Children's Hospital
A scoping review of human digital twins in healthcare applications and usage patterns.
NPJ digital medicine · 2025 · 26 citations · Frederick Kuo, Mohamed Rehman
Perspectives on Anesthesia and Perioperative Patient Safety: Past, Present, and Future.
Anesthesiology · 2024 · 12 citations · Anna Varughese
Machine Learning Applied to Registry Data: Development of a Patient-Specific Prediction Model for Blood Transfusion Requirements During Craniofacial Surgery Using the Pediatric Craniofacial Perioperative Registry Dataset.
Anesthesia and analgesia · 2021 · 39 citations · Lillian Zamora, Mohamed Rehman, Allison Fernandez
Pediatric Ambulatory Anesthesia: Confronting Challenges, Embracing Opportunities.
Anesthesia and analgesia · 2025 · 7 citations · Anna Varughese
A machine-learning approach for decision support and risk stratification of pediatric perioperative patients based on the APRICOT dataset.
Paediatric anaesthesia · 2023 · 13 citations · Mohamed Rehman
The Perioperative Human Digital Twin.
Anesthesia and analgesia · 2022 · 23 citations · Anna Varughese, Mohamed Rehman
Precision Anesthesia in 2050.
Anesthesia and analgesia · 2024 · 9 citations · Frederick Kuo, Mohamed Rehman, Scott Watkins
Diversity, equity, and inclusion within the Society for Pediatric Anesthesia: A mixed methods assessment.
Paediatric anaesthesia · 2023 · 11 citations · Allison Fernandez