Unraveling the Mysteries of Alzheimer's Disease Using Artificial Intelligence

• DOI: 10.2174/0115748871330861241030143321
• Publication Date: 2024-11-20T07:51:31Z
• Authors: Siddhant Tripathi; Yashika Sharma; Dileep Kumar
• Keywords: Data Sharing; Jigsaw

Alzheimer's disease (AD) is a multidimensional, complex condition that affects individuals all over the world. Despite decades of experimental and clinical research has revealed various processes, many concerns concerning origin remain unresolved. notion there isn't complete set jigsaw pieces, growing number public data-sharing initiatives collect biological, clinical, lifestyle data from those suffering resulted in virtually endless volumes knowledge about disorder, far beyond what humans can comprehend. Furthermore, combining Big Data multi- -omics gives chance to investigate pathophysiological processes underlying whole biological spectrum disease. To improve on subject disease, Artificial Intelligence (AI) offers wide variety approaches for evaluating significant data. The introduction next-generation sequencing microarray technologies growth genetic research. When it comes assessing such projects, AI technology beats conventional statistical techniques processing. This review focuses current potential challenges article, particular, examines how may assist healthcare practitioners with patient stratification, estimating an individual's AD conversion, diagnosing using computer-aided diagnostic methodologies. Ultimately, scientists want develop individualized, efficient medicines.