Farahnosh is currently a junior at the University of Kentucky majoring in Computer Science with a minor in Mathematics. She joined Educe Lab this semester as student researcher, and as a previous medical student she is excited about the  HeartLens Project, which focuses on using artificial intelligence (AI) and advanced imaging techniques to enhance the diagnosis and treatment of cardiovascular diseases (CVD), particularly coronary artery disease (CAD). It aims to revolutionize the detection of coronary artery calcifications (CAC) using AI-driven analysis of CT scans, without requiring the use of contrast agents. The project involves three key aims: developing AI models for detecting CAC, assessing the clinical impact of these models on patient management, and implementing machine learning to predict CAD based on non-contrast CT scans. The initiative is expected to improve patient care by enhancing early detection, reducing healthcare costs, and providing more accessible treatment options for high-risk populations, especially in underserved communities like those in Kentucky. Farahnosh is excited to expand on her technical skills and work with other like-minded and high-achieving students.