Shefali Setia Verma
University of Pennsylvania
Department of Pathology and Laboratory Medicine; Department of Epidemiology, Biostatistics and Informatics, Perelman School of Medicine
shefali.setiaverma@pennmedicine.upenn.eduAbout the Workshop
Grounded, forward-looking, and built for translation
This PSB workshop will bring together researchers, clinicians, and industry partners working at the intersection of AI and reproductive health. The program will highlight advances in predictive modeling, multimodal data integration, and clinical decision support, with a focus on translation across fertility, pregnancy, and menopause and the challenges of achieving robust and equitable impact.
Reproductive health provides a rigorous and high-impact setting for evaluating AI methods in practice. By centering this domain, the workshop creates space to move beyond broad claims and focus on clinically meaningful, trustworthy, and equitable approaches to precision medicine.
Why this workshop matters
The field is moving quickly, but translation remains uneven. Reproductive health has been historically understudied and underfunded relative to its population-level impact, and as AI reshapes biomedical research and clinical practice, there is a real risk that these existing gaps widen further. Actively engaging with AI in this domain is essential to closing the equity gap rather than compounding it. This workshop is designed to connect methods, clinical needs, and implementation realities in one focused forum.
Key Topics
Core scientific and translational themes
- AI-driven prediction and risk stratification in reproductive health
- Longitudinal modeling across fertility, pregnancy, and menopause
- Multimodal data integration across EHR, genomics, wearables, and mobile health
- Clinical decision support tools and precision medicine frameworks
- Bias, fairness, validation, and trustworthy deployment
- Translation of models into real-world clinical workflows
Workshop Format
Structured for both depth and discussion
- Brief opening remarks from the organizers
- Approximately six invited talks featuring academic and translational perspectives
- Moderated panel discussion with reserved space for clinical and industry voices
- Audience Q&A centered on future directions and collaboration
Organizers
Workshop leadership and contacts
Samantha Piekos
University of Pennsylvania
Department of Epidemiology, Biostatistics and Informatics, Perelman School of Medicine
Samantha.Piekos@PennMedicine.upenn.edu
Tomiko Oskotsky
University of California, San Francisco
Division of Clinical Informatics and Digital Transformation, Bakar Computational Health Sciences Institute
Tomiko.Oskotsky@ucsf.edu
Digna R. Velez Edwards
Vanderbilt University Medical Center
Department of Obstetrics and Gynecology and Biomedical Informatics
digna.r.velez.edwards@vumc.org
Marina Sirota
University of California, San Francisco
Bakar Computational Health Sciences Institute
Marina.Sirota@ucsf.eduInvited Speakers
To be added once finalized
Speaker announcements will be added here once finalized. This section is ready for names, affiliations, talk titles, and headshots.
Reserved space for invited speakers and program details
Industry Participation
Panel and participating organizations
Industry panelists and participating organizations will be added once confirmed.
Reserved space for industry panelists, company logos, and participation details