Dr. Pruinelli is actively engaged in multiple collaborative efforts that bridge the fields of transplantation, chronic conditions, data science, nursing, and artificial intelligence. She collaborates with several national and international institutions where her work focuses on predictive modeling and AI applications in healthcare. Her collaborations extend to interdisciplinary teams (computer scientists, epidemiologists, multidisciplinary clinical experts, data engineers, healthcare leaders, biostatisticians, etc.), working on innovative projects that apply machine learning to healthcare data to improve patient outcomes and inform clinical practice. She further collaborates with multiple teams to understand and use data to drive solutions using technology.
Data Sources in Use:
Electronic Health Records data
Survey data, such as the Scientific Registry for Transplant Recipients
All of Us Research Program
If you are a student and want to join the lab or apply for a degree under my supervision, please refer to my Advising Philosophy.
My advising philosophy has been built over the years based on my role as an advisee and advisor/mentor in nursing and multidisciplinary fields. I oversee the advisor-advisee relationship as the most rewarding connection, built upon clear expectations from both parties and open communication about potential issues as they appear.