AI for Early Diagnosis of Neurological Disorders Internship

About Internship

Professor from MIT School of Computing, India, is accepting interns interested in the field of Computer Science Engineering, in the research area of Artificial intelligence and Machine learning.

This internship offers hands-on research experience in developing AI-driven predictive models for the early diagnosis and personalized treatment of major neurological conditions, including Alzheimer’s disease, Parkinson’s disease, epilepsy, and stroke. Interns will work at the intersection of artificial intelligence, medical data science, and healthcare innovation. Interns will be responsible for collecting and organizing relevant datasets, understanding clinical biomarkers, and preparing data for machine learning workflows. They will assist in designing system architecture tailored to predictive analytics, developing AI/ML models, and implementing algorithms to identify early disease indicators and patient-specific treatment patterns. The role includes model training, testing, and optimization, followed by systematic analysis of results to evaluate accuracy, reliability, and real-world applicability. Interns will also learn about ethical considerations, data privacy, and responsible AI usage in healthcare.