Johns Hopkins All Children's Hospital 3rd Annual AI/ML in Pediatric Research: Medical & Pharmaceutical Perspectives

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The Center for Pediatric Data Science and Analytics Methodology at Johns Hopkins All Children's Hospital is presenting its 3rd annual Research Symposium: AI/ML in Pediatric Research on October 25 & 26, 2023. At this event, we explore the relevance of AI/ML in developing better pharmaceuticals and discuss the implementation of AI/ML solutions in pediatric medicine.

Printable Agenda

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Day 1 - October 25, 2023
8:00- 8:15 AM

Welcome – Opening Remarks

Chair - Luis Ahumada, Ph.D., MSCS

8:15 – 12:30 PM

Hands-On Workshop

Geoffrey M. Gray, Ph.D.
Predictive Analytics Lead Data Scientist

A hands-on approach to the development of models using real-world clinical data. This workshop seeks to illustrate the model building process in the clinical space. Participants will get hands on experience with preparing real-world clinical data using the MIMIC-III dataset and building predictive models while overcoming common challenges faced. This workshop aims to provide skills, techniques and code directly applicable to similar problems.

12:30-1:00 PM

Wrap-up and Q & A

Day 2 - October 26, 2023
8:00 – 8:15 AM

AI/ML in Pediatrics Research Perspective

Chair - Luis Ahumada, Ph.D., MSCS

8:15-8:45 AM

Large Language Models in Medicine and Healthcare

Yonghui Wu, Ph.D.
Associate Professor, Department of Health Outcomes & Biomedical Informatics University of Florida College of Medicine, Director of Natural Language Processing

8:45-9:15 AM

Why Consistent Change Works Best from the Factory Floor with BPM and AI/ML Being a Central Connector

Michal Wierzchowski
VP Digital Transformation, Operations

Being presented by Marcos Garcia
Operations Director Digital Factory

9:15-9:45 AM

AI/ML in Development of Long-acting Injectable Drugs

Christine Allen, Ph.D.
Professor, University of Toronto; President, Controlled Release Society

9:45-10:15 AM

AI-Powered Pharma: Transforming the Future of Healthcare?

Juan Piacquadio, Ph.D.
CIO & VP IT at Phlow Corporation

10:15-10:30 AM

Q & A

10:30-10:45 AM


10:45-11:00 AM

AI/ML in Pharmaceutical Research Perspective

Co-Chair - Daniel Schaufelberger, Ph.D.

11:00-11:30 AM

Data Analytics in Taste Characterization and Palatability Assessment of Pediatric Formulations

Aruna Railkar, Ph.D.

Dennis Henderson, Ph.D.
Quotient Sciences

11:30-12:00 PM

PBPK Assisted Pediatric Dosage Form Development

Hibreniguss Terefe, Ph.D.
Catalent Pharma Solutions

12:00-12:45 PM


12:45-1:15 PM

Quadrant 2®: An AI/ML platform for Solubility and Bioavailability Enhancement for Oral Pediatric Drug Development

Sanjay Konagurthu, Ph.D.

1:15-1:45 PM

ZoomLab™- Modelling for Drug Product Development

Sandip Tiwari, Ph.D.

Ferdinand Brandl, Ph.D.

1:45-2:15 PM

GenAI on FHIR: Accelerating Pediatric Cancer Research

Ashwini Davison, M.D., FACP, FAMIA
Healthcare Executive Advisor
Amazon Web Services

Rod Tarrago, M.D.
Healthcare Executive Advisor

2:15-2:40 PM

Q & A

2:40-2:45 PM



Luis Ahumada, Ph.D., MSCS

Founding Director, Center for Pediatric Data Science and Analytic Methodology, JHAC ICTR
Director, Health Data Science & Analytics
Assistant Professor of Anesthesia and Critical Care Medicine, JHU SOM


Daniel Schaufelberger, Ph.D.

Adjunct Assistant Professor, Johns Hopkins University, School of Medicine, Neurology;
Head Pediatric Center of Excellence, NGT BioPharma Consultants LLC

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