Neurodegenerative disorders are characterized by a gradual but irreversible loss of neurological
function. The ability to detect and treat these conditions successfully is crucial for ensuring
the best possible quality of life for people who suffer from them. The development of effective new
methods for managing and treating neurodegenerative illnesses has been made possible by recent
developments in computer technology. In this overview, we take a look at the prospects for applying
computational approaches, such as drug design, AI, ML, and DL, to the treatment of neurodegenerative
diseases. To review the current state of the field, this article discusses the potential of computational
methods for early disease detection, quantifying disease progression, and understanding the
underlying biological mechanisms of neurodegenerative diseases, as well as the challenges associated
with these approaches and potential future directions. Moreover, it delves into the creation of
computational models for the individualization of care for neurodegenerative diseases. The article
concludes with suggestions for future studies and clinical applications, highlighting the advantages
and disadvantages of using computational techniques in the treatment of neurodegenerative diseases.