TRANSLATING A LADDER FROM AI/ML, NOVEL BIOMARKERS AND EV’S FOR PERSONALIZED MEDICINE IN NEURODEGENERATIVE DISEASE AND THERAPEUTICS

Abstract

Diseases which are characterized by the progressive loss of neurons' structure or function, leading to deterioration in cognitive and motor function. A disease's presence or severity can be determined objectively by biomarkers, which are then used to monitor, diagnose, and track the development of a disease. There are several different categories of biomarkers that have been identified for neurodegenerative diseases, including genetic, epigenetic, protein, imaging, and behavioral biomarkers. These biomarkers can be utilised separately or in combination to assist the development of targeted therapeutics by providing a better knowledge of the underlying illness process. In this review, we discuss the various categories of biomarkers that have been identified for neurodegenerative diseases and their potential uses in the clinical setting. It is significantly being used in the area of neurodegenerative diseases and therapeutics. A kind of extracellular vesicles implicated in brain damage in a variety of ways; they spread inflammation throughout the brain. A barrier called the blood-brain barrier (BBB) mediates neuronal signal mediation, propagation, and neuroprotection.. This paper focuses on the evidence which is mounting that the functions of EV are linked to the neurological pathogenic illnesses of machinery aiding in the growth and spread of the diseaseIn this paper, we discuss the current state of AI applications in this area. We begin by providing an overview of neurodegenerative diseases and the challenges they present. We then describe the various ways in which AI is being used in the field, including drug discovery and development, diagnosis and prognosis, patient care, clinical trials, and basic research. Finally, we outline some of the key directions for future research in this area. We have also designed a sample program with the help of HTML, CSS and JAVA to design personalised medicine. . Overall, our analysis indicates that AI has the potential xi affect on NDD’s and therapeutics, and could be a step towards the development of new and improved treatments for these conditions.