NICHD/ASRM Joint Meeting

Use of Artificial Intelligence/Machine Learning to Develop Personalized Approaches to Improve Reproductive Health Outcomes

Thursday, October 21, 2021
10:00 am – 5:20 pm (EST)

$50 registration fee

Link will be sent to registrants to attend. You will not be able to access this meeting via the ASRM On-Demand Congress website.

10:00 am – Welcome

Dr. Louis DePaolo (DER, Eunice Kennedy Shriver NICHD, NIH)
Dr. Alan DeCherney (DIR, Eunice Kennedy Shriver NICHD, NIH)
Dr. Chevis Shannon (ASRM)

Session I  – Use of AI/ML in Other Fields

10:10 am Moderator – Alison Cernich, Eunice Kennedy Shriver NICHD, NIH
10:20 am Deep Neural Networks for Population Genetics and Evolutionary Biology
Sara Mathieson, Haverford College
10:50 am Artificial Intelligence in Interventional and Diagnostic Radiology: Opportunities and Pitfalls from the Frontline
Ferdinand Hui, University of Hawaii
11:20 am Panel Discussion
11:40 am Keynote Address
Emotions, Social Robots, and a New Human-Robot Relationship
Cynthia Breazeal, Massachusetts Institute of Technology
12:30 pm Break


Session II – AI/ML and Precision Medicine: The Future of Medical Practice

1:00 pm Moderator – Susan Gregurik, Office of the Director, NIH
1:10 pm Artificial Intelligence: Bridging Phenome to Genome
Stephanie Seminara, Massachusetts General Hospital
1:40 pm Improving Fertility Treatment Access and Outcomes Using AI/ML Prognostics at Point-of-Care and in R&D
Mylene Yao, UNIVFY
2:10 pm Ethical and Legal Considerations and Dilemmas Raised by AI in Health Care and Reproductive Health
Sarah Gerke, Penn State Dickinson Law
2:40 pm Panel Discussion
3:00 pm Break


Session III – AI/ML to Improve ART Outcomes

3:20 pm Moderator – David Albertini, Bedford Research Foundation
3:30 pm The Promise and Future Opportunity of AI/ML for Gamete Selection
Catherine Racowsky, Foch Hospital, Suresnes, France
4:00 pm AI; An Automated Tool for Non-Invasive Embryo Selection
Marcos Meseguer, IVFRMI Valencia, Spain
4:30 pm Three Ways of Knowing: The Integration of Clinical Expertise, Evidence-Based Medicine, and Artificial Intelligence in Assisted Reproductive Technologies
Gerard Letterie, Seattle Reproductive Medicine
5:00 pm Panel Discussion
5:20 pm Adjourn