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Monday, Jun 10th
10:30 AM – 12:00 PM ET
Paper Session A3
Location: Hub 2
AI and machine learning
Monday, Jun 10th
10:30 AM – 12:00 PM ET
Making Power Explicable in AI Development: Power preposition and Explainable AI (XAI) in Precision Medicine
Location: Hub 2
Speaker: Elise Li Zheng, PhD – Columbia University
AI and machine learningEquity and justice in genetics
Monday, Jun 10th
10:30 AM – 12:00 PM ET
ELSI Considerations for Integrating Multimodal Computer Perception and Neurotechnology
Location: Hub 2
Presenter: Meghan Hurley – Baylor College of Medicine
AI and machine learning
Monday, Jun 10th
10:30 AM – 12:00 PM ET
Understanding Physicians' Perceptions: AI-Enabled Pharmacogenomics for Mental Health Disorders
Location: Hub 2
Speaker: Austin M. Stroud, MA (he/him/his) – Mayo Clinic
AI and machine learningClinical genetic testing
Monday, Jun 10th
10:30 AM – 12:00 PM ET
Qualitative Analysis of Values-Based Design Group Exercises with Developers of Machine Learning for Precision Medicine
Location: Hub 2
Speaker: Ariadne Nichol, BA – Stanford Center for Biomedical Ethics
AI and machine learning
Tuesday, Jun 11th
10:30 AM – 12:00 PM ET
Artificial intelligence for precision medicine: How close to ‘personalized’ can we really get?
Location: Forum B
Corresponding Author: Carole Federico, MSc, PhD (she/her/hers) – Stanford University
Panelist: Kristin Kostick-Quenet – Baylor College of Medicine
Panelist: Nicole Martinez-Martin, JD, PhD (she/her/hers) – Stanford University
Panelist: Abdoul Jalil Djiberou Mahamadou, PhD (he/him/his) – Stanford University
AI and machine learning
Tuesday, Jun 11th
5:00 PM – 7:00 PM ET
01- Who receives their genetic testing results? Exploring patient portal use and the implications of technological innovation
Location: The Gallery
Presenter: Xavier T. Williams, MS in Biomedical Engineering (he/him/his) – Case Western Reserve University
AI and machine learningEquity and justice in genetics
Tuesday, Jun 11th
5:00 PM – 7:00 PM ET
03- Poster 1. #DATABACK: Structuring Indigenous Bioeconomies through Indigenous Data and Digital Sovereignty for Precision Health
Location: The Gallery
Presenter: Krystal S. Tsosie, PhD, MPH, MA (she/her/hers) – Arizona State University / Native BioData Consortium
AI and machine learningBiobanking and genomic databasesIndigenous communities collaboration
Tuesday, Jun 11th
5:00 PM – 7:00 PM ET
Using Artificial Intelligence and Machine Learning Approaches to Operationalize Indigenous Genomic Data Sovereignty and Improve Health Equity
Location: The Gallery
Presenter: Krystal S. Tsosie, PhD, MPH, MA (she/her/hers) – Arizona State University / Native BioData Consortium
AI and machine learningBiobanking and genomic databasesIndigenous communities collaboration
Tuesday, Jun 11th
5:00 PM – 7:00 PM ET
05- Poster 3. #DATABACK: Structuring Indigenous Bioeconomies through Indigenous Data and Digital Sovereignty for Precision Health
Location: The Gallery
Presenter: Krystal S. Tsosie, PhD, MPH, MA (she/her/hers) – Arizona State University / Native BioData Consortium
AI and machine learningBiobanking and genomic databasesIndigenous communities collaboration
Wednesday, Jun 12th
10:30 AM – 12:00 PM ET
Experiential ethics training for genomic researchers
Location: Hub 2
Corresponding Author: Quinn Waeiss, PhD (they/them/theirs) – Stanford University
Panelist: Ariadne Nichol, BA – Stanford Center for Biomedical Ethics
Panelist: David Magnus – Stanford Center for Biomedical Ethics
Panelist: Katie Shilton, PhD – University of Maryland
Panelist: Michael Bernstein – Stanford University
AI and machine learningEquity and justice in geneticsMethodology and study design