The ASSET (AI-enabled Systems: Safety, Explainability and Trustworthiness) Center, part of Penn Engineering’s Innovation in Data Engineering and Science (IDEAS) Initiative, aims to weave those threads together with large-scale research projects. Pilot projects include:
• Neurosymbolic approach for predictive modeling of adverse events from EHR data
Mayur Naik, Professor, Department of Computer and Information Science, Penn Engineering
Ravi B. Parikh, Assistant Professor, Departments of Medical Ethics and Health Policy and Medicine, Penn Medicine
• Optimizing clinical monitoring for delivery room resuscitation using novel interpretable AI
Elizabeth Foglia, Associate Professor, Department of Pediatrics, Penn Medicine and the Children’s Hospital of Philadelphia
Dani S. Bassett, J. Peter Skirkanich Professor, Departments of Bioengineering and Electrical and Systems Engineering, Penn Engineering
• Trustworthy explainable AI to revolutionize breast cancer risk assessment with digital breast tomosynthesis
Despina Kontos, Matthew J. Wilson Professor of Research Radiology II, Department of Radiology, Penn Medicine
Lyle Ungar, Professor, Department of Computer and Information Science, Penn Engineering
• Utilizing deep learning to diagnose glaucoma from fundus photography in African ancestry individuals
Joan O’Brien, Harold G. Scheie-Nina C. Mackall Research Professor, Department of Ophthalmology, Penn Medicine
Osbert Bastani, Assistant Professor, Department of Computer and Information Science, Penn Engineering
• Multimodal explainable AI for prognostic stratification of glioblastoma patients
Spyridon Bakas, Assistant Professor, Departments of Pathology and Laboratory Medicine and Radiology, Penn Medicine
Sharath Chandra Guntuku, Research Assistant Professor, Department of Computer and Information Science, Penn Engineering
MacLean Nasrallah, Assistant Professor, Department of Pathology and Laboratory Medicine, Penn Medicine
• Calibrated machine learning methods for mobile health intervention
Ian Barnett, Assistant Professor, Department of Biostatistics in Biostatistics and Epidemiology, Penn Medicine
Edgar Dobriban, Assistant Professor, Department of Statistics and Data Science, Wharton
Pratik Chaudhari, Assistant Professor, Department of Electrical and Systems Engineering, Penn Engineering
• Personalized medicine for hypertensive pregnancy disorders
Paris Perdikaris, Assistant Professor, Department of Mechanical Engineering and Applied Mechanics, Penn Engineering
Walter R. Witschey, Associate Professor, Department of Radiology, Penn Medicine
Nadav Schwartz, Associate Professor, Department of Obstetrics and Gynecology, Penn Medicine
You can read more about the collaboration and the funded projects here: https://blog.seas.upenn.edu/asset-center-inaugural-seed-grants-will-fund-trustworthy-ai-research-in-healthcare/.