NeuroFore | United States
Hamasa Ebadi is an innovator working at the convergence of neuroscience, artificial intelligence, and clinical translation, with research focused on transforming the early detection of neurodegenerative disorders. Her work centers on the development of an original, first of its kind algorithm designed to identify Parkinson’s disease during its earliest, non motor stages, long before conventional clinical diagnosis is possible. The research integrates computational neuroscience, advanced pattern recognition, and clinically relevant symptom domains to uncover subtle disease signals that are often overlooked in traditional diagnostic frameworks. Unlike existing approaches that depend on late stage motor symptoms or invasive biomarkers, her work emphasizes non invasive, ethically grounded, and patient centered detection strategies. A defining strength of this research is its translational orientation, with algorithms engineered for scalability and seamless integration into real world clinical workflows. The work is guided by a strong neuroethical foundation, ensuring that early diagnosis supports safe, proactive, and beneficial intervention pathways rather than reactive treatment after disease progression. Through the translation of this research into an applied artificial intelligence platform, her contributions have the potential to reshape how clinicians, health systems, and researchers approach early neurological risk assessment. This body of work represents a significant advancement in predictive neurology and demonstrates how interdisciplinary research can redefine standards of care in neurodegenerative disease detection.