Introduction

https://youtu.be/8_oPO3TClsU?si=oUsN9i-R6G_-n8l0

Research Focus

The lab’s research focuses on developing AI-driven tools and methodologies to optimize patient care, particularly within underserved communities. The key research areas include machine learning applications for early disease detection, predictive analytics for preventive care, and the development of digital health tools that empower patients and care providers alike. 

By prioritizing primary care challenges, Rahimi’s Lab addresses some of the most critical areas in healthcare, such as improving chronic disease management, enhancing patient engagement, and reducing health disparities. This research has profound implications, as it enables a shift toward proactive, personalized, and preventive healthcare.

Achievements and EDI
within Lab

Rahimi’s Lab has made substantial contributions to the field of AI in primary health care, reflected in their numerous publications, impactful studies, and successful collaborations. Notably, the lab has developed tools and frameworks that have been implemented in healthcare settings, demonstrating real-world impact. The lab’s commitment to excellence is also seen through lab’s achievements in securing research grants and funding, which support ongoing projects and foster the development of new AI-powered solutions for primary healthcare challenges.