Early Detection of Brain Disorders Using Wearable Devices Through Eye Movement Introduction In recent years, the integration of wearable technologies into healthcare has opened up exciting possibilities for early disease detection. Among these developments, wearable sensors that track eye movement have emerged as a promising tool in diagnosing brain disorders. Eye movement, which is closely linked to brain function, can offer vital clues in detecting neurological conditions such as Parkinson’s disease, Alzheimer’s, and other cognitive impairments. This research addresses a pressing question: Can subtle changes in eye movement patterns be reliably used to detect brain disorders before clinical symptoms become evident? With advancements in precision medicine and AI, the convergence of IT, biomedical engineering, and neuroscience is becoming not only possible but necessary. As a software engineer transitioning into bioinformatics, I see this as a pivotal opportunity to apply data sc...