AI/ML in Pediatric Research: Medical & Pharmaceutical Perspectives
November 18, 2021
Webinar
Location: Virtual
Venue: Zoom
AI/ML in Pediatric Research" - Invitation to a FREE webinar on November 18th, 2021, 11 am US EST. We are proud to launch this new Research Symposium at Johns Hopkins University, All Children's Hospital, in collaboration with the IQ Consortium, Pediatric Working Group. The agenda will offer clinical/medical and pharmaceutical perspectives and offer insights into this rapidly expanding area of interest.
Inaugural Artificial Intelligence and Machine Learning in Pediatric Research Symposium
This year, the Center for Pediatric Data Science and Analytics Methodology at Johns Hopkins All Children's Hospital in collaboration with the IQ Consortium, Pediatric Working Group is launching its annual Research Symposium: AI/ML in Pediatric Research on November 18, 2021. At this event, we will explore the relevance of AI/ML in developing better pharmaceuticals and discuss the implementation of AI/ML solutions in pediatric medicine.
The Pharmaceutical session will feature presentations on the use of Artifical Intelligence and Machine Learning in the manufacturing process, creating better medicines, and dealing with pill bitterness.
The Clinical session will feature presentations on the application of AI/ML to the Human Digital Twin Project, Spatial Data Science, the Pediatric challenges in ML/AI, and a regulatory update for the use of AI/ML Software as a Medical Device.
Each session will conclude with a Panel Discussion, where the session speakers and invited experts will respond to questions from the registered attendees.
Program Schedule
Co-Hosts
- Luis M. Ahumada, MSCS, PhD
Director Health Data Science & Analytics, Director Center for Pediatric Data Science and Analytic Methodology, Assistant Professor at Johns Hopkins University School of Medicine, Johns Hopkins All Children's Hospital - Daniel Schaufelberger, PhD
Adj. Assistant Professor, Johns Hopkins University, School of Medicine, Neurology; VP Chemistry, Manufacturing & Controls, NGT BioPharma Consultants LLC
Session 1
- AI/ML in Pharmaceutical Manufacturing
Mike Tomasco
Vice President, Digital Manufacturing; Pfizer Digital - Developing Better Medicines for Children: Opportunities for AI/ML?
Trupti Dixit, PhD
Head, Global Technical Development Portfolio Seagen Inc. - How to Deal with the Bitter Pill - ML Approaches for Understanding and Predicting Bitterness of Drugs
Eitan Margulis
PhD candidate at The Hebrew University of Jerusalem
Panel Moderators
Daniel Schaufelberger, PhD
Adj. Assistant Professor, Johns Hopkins University, School of Medicine, Neurology; VP Chemistry, Manufacturing & Controls, NGT BioPharma Consultants LLC
Alex Bachmanov, PhD
GSK, Comparative and Translational Sciences
Session 2
- Human Digital Twins: Moving from Herd to Precision Medicine
Mohamed Rehman, M.D., FAAP
Johns Hopkins School of Medicine - Optimizing Health Care Delivery with Spatial Data Science
Jonathan M. Tan, MD MPH MBI FASA
Children’s Hospital Los Angeles - Living like the Jetsons: the Ideal Approach to the Future State of AI/ML in Health Care
Allan F. Simpao, MD, MBI
Children's Hospital of Philadelphia and University of Pennsylvania Perelman School of Medicine - Pediatric Medical Device Innovation: Artificial Intelligence in Perioperative Care
Jorge A. Gálvez, MD MBI
Division Chief, Pediatric Anesthesiology, Children's Hospital & Medical Center
Kugler Vonderfecht Professor, Kugler Vonderfecht Professor, Department of Anesthesiology, University of Nebraska Medical Center - Challenges in ML and AI in pediatrics – have we hit a ceiling?
Clyde Matava, MD, MBChB, MHSc
Hospital for Sick Children (Toronto)
Panel Moderators
Luis M. Ahumada, MSCS, PhD
Director Health Data Science & Analytics, Director Center for Pediatric Data Science and Analytic Methodology, Assistant Professor at Johns Hopkins University School of Medicine, Johns Hopkins All Children's Hospital
Geoffrey M. Gray, PhD
Johns Hopkins All Children's Hospital