Application of Artificial Intelligence in Biochemistry and Biomedical Sciences: A Review

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Published: 2022-09-03

Page: 302-312


Arowora, Adebisi Kayode

Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020, Taraba State, Nigeria.

Imo Chinedu

Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020, Taraba State, Nigeria.

Anih, David Chinonso

Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020, Taraba State, Nigeria.

Moses, Abah Adondua *

Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020, Taraba State, Nigeria.

Ugwuoke, Kenneth Chinekwu

Department of Biochemistry, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020, Taraba State, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

This review looked at how artificial intelligence is being used in biochemistry and other biological fields. It explains how computers and the applications that go along with them can be used to solve difficult healthcare problems and how computers can be used to interpret data from the diagnosis of various chronic diseases like Alzheimer's, diabetes, cardiovascular disease, and different types of cancer, such as breast and colon cancer. The review identified a number of automated systems and tools that assist to reduce mistakes and regulate the course of disease, including brain computer interfaces (BCIs), arterial spin labeling imaging (ASL-MRI), biomarkers, IT bra, and other algorithms. It was also shown that software implementation, expert systems, decision support systems, and computer aided diagnosis may help doctors reduce inter- and intraobserver variability. Artificial intelligence techniques, more especially artificial neural networks (ANN), fuzzy approach, may be used to manage many sorts of medical data in order to streamline the diagnostic process. The ANN approach is useful for building clinical assistance systems because it reveals hidden patterns and connections in medical data. Artificial intelligence (AI) is used in biochemistry for a variety of purposes, including the prediction of protein secondary structures, drug delivery, and enzyme creation. The value of AI in enhancing a variety of human endeavors cannot be overstated, hence efforts should be made to promote its use in biochemistry, the biomedical sciences, and other fields.

Keywords: Biomarkers, enzyme engineering, genes, artificial intelligence, computers


How to Cite

Kayode, A. A., Chinedu, I., Chinonso, A. D., Adondua, M. A., & Chinekwu, U. K. (2022). Application of Artificial Intelligence in Biochemistry and Biomedical Sciences: A Review. Asian Research Journal of Current Science, 4(1), 302–312. Retrieved from https://globalpresshub.com/index.php/ARJOCS/article/view/1661

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