Artificial intelligence in biology – a ashort review

Abstract

Artificial intelligence is the development of computers and machines capable of mimicking human problem-solving and decision-making. Essentially, computer scientists wanted to create a system that acts like a human. Over time and with machine learning algorithms, AI has gained predictive power by using statistics and training data. It was able to “learn” and sort out data based on available research and calculate results. It started to grow and be frequently used by scientists in fields of genomics, proteomics, the pharmaceutical industry, and healthcare. AI has a bright future in applications of diagnosing cancers, offering an effective treatment, simulating metabolic processes, and predicting DNA and RNA binding sequences. Most importantly, the application of AI in the pharmaceutical industry can lead to lower costs and even eliminate clinical trials. Even though machine learning in biology is an extremely useful tool, there are some challenges, like insufficient financing and ethical concerns about data insufficiency and safety. Lastly, artificial intelligence should not replace human decision-making; it should make it more precise and easier. Artificial intelligence is still in need of development of law and ethical policies in order for it to collaborate with the healthcare and pharmaceutical industry.