Abstract: Journal of Clinical and Biomedical Advances

Abstract:
Examining several methods for Tensor Decompositions and their possible usefulness in the biomedical sciences is the main goal of this work. The goal is to use Tensor Decompositions to improve research outcomes. Additionally, the review points up unsolved problems and suggests future lines of inquiry for this area of study. In essence, by exploring a broader vision for a higher-level performance of biomedical sciences, these suggested open questions would give the research community more opportunities to express themselves, innovate, and offer more practical applications to advance the state of the art. When considering the broader picture, this also implies that Tensor Decompositions may be used to transform the current space AI sector and machine learning technologies.