Biography:
Aadya Daga is a highly driven high school researcher dedicated to the intersection of computer science and medicine. Inspired by the challenges of early detection, she leverages bioinformatics to analyze complex patient data, focusing on creating novel biomarkers for Parkinson's Disease. Aadya applies Machine Learning (ML) to predict disease pathogenesis using patient profiles. Her work seeks to develop an affordable, non-invasive diagnostic tool, showcasing a passion for translating cutting-edge AI research into real-world healthcare solutions. She plans to continue this translational research in college.
Title : Cognitivevoice: Novel machine learning model leveraging acoustic features to predict future cognitive decline in Parkinson’s Disease