Introduction to AI in Biotechnology and Biomedical Engineering

Abstract

Artificial intelligence (AI) is a field of computer science that works towards using machines/computer programs to perform tasks that would normally require human intelligence. Some of these tasks may include prediction, problem-solving, reasoning, and inferring. Some the most notable uses are protein structure prediction (AlphaFold2) and the prediction of disease-causing genetic mutations in primates (PrimateAI-3D). Machine learning models have also found use in diagnosis. A study showed that it is possible to get accurate diagnosis from limited amounts of data if the data is handled and processed properly. Overall, AI can be applied in a wide range of fields, given that accurate and sufficient data is provided, and this is just what is known. There are many more applications that might come up over time. This chapter aims to give a basic overview of machine learning algorithms used to train models and shed some light on how it is being used in the fields of biotechnology and biomedical engineering.