Dear Colleagues,
The next IFCC webinar: “The Role of Machine Learning in Advancing Pediatric Laboratory Medicine” – will be held on June 30, 2025.
Machine learning, is a powerful tool within artificial intelligence, which is revolutionizing diagnostics and predictive modeling across various medical fields. However, its application in neonatology and pediatrics, is still in its early stages. To accelerate its integration into clinical practice, it’s essential to understand both its potential benefits and limitations. This webinar is an initiative of the Committee for Emerging Technologies and Pediatric Laboratory Medicine (C-ETPLM) and aims to focus on the recent advances in leveraging machine learning in pediatric endocrinology, the use of AI in integrating laboratory and clinical data and its impact in rare disease registries. It will provide a framework of incorporating machine AI and machine in pediatric care and the potential pitfalls and challenges and how it can be tailored to the specific needs of pediatric populations.
This webinar comprises of three following presentations of 20 min each followed by 20 min of panel discussion at the end.
Chair: Dr. Tim Lang
Talk 1- “Machine Learning in Laboratory Medicine: Promises and Pitfalls” – Prof. Shannon Haymond
Talk 2- “Rationale and methodological framework for leveraging machine learning in paediatric endocrinology” – Dr. Andre G. Madsen
Talk 3- “Establishment of a Rare Disease Registry with Artificial Intelligence Integrating Laboratory and Clinical Data” – Dr. Chloe MiuMak
Target Audience:
This webinar is intended for:
- Pediatricians
- Students/academics
- Bioinformaticians/data scientists
Learning Objectives:
By the end of this presentation, participants should be able to:
1. Basic features and use-cases of machine learning
2. How to normalize age-dependent variability in pediatric measurements
3. Framework to build and validate ML models
All speakers have completed the conflict of interest declaration and have no conflicts to disclose.
Instructions for Participation and Earning CE Credit:
This IFCC Live webinar is designed to be completed within 90 minutes.
To earn CE credit, participants must complete the activity online.
A passing score of 75% on the post-webinar quiz is required to receive 1.5 CE credits.
- Time Zones: Live presentations starting at: 9:00AM EDT-New York ; 3:00PM CET-Rome; 9:00PM CST-Beijing;
Important: Please ensure that you carefully determine the time that the presentation will start in your global time zone. Click here to convert to your time-zone.
- Recorded webinar: available on demand
- Certificate of participation: available for all registrants
