Artificial Intelligence and Machine learning in Biotechnology:
Biotechnology has been a pillar for several activities but only since the pandemic its importance has grown to a much greater level. Biotechnology is generally the integration of biology and technology and is the process of using the biological organisms or substances or any biological agents which can be used in the preparation of any biological product or process which can be used for the benefit of the lives of the people, their health, environment, and their ecosystems. There are several streams of biotechnology such as drug delivery, plant, animal, food, chemical, etc., Even though the biotechnologists or the scientist's research and come up with any process or product, more amount of time is required by the people to derive it. In order to analyse, process, and interpret the product within a short time and with more efficiency, people began integrating with artificial intelligence and machine learning. On the pretext of COVID’19, the biotech industry has become popular and is also witnessing great demand on many fronts. AI is opening the way for a new generation of medical and biotech solutions that can outperform the best human minds in terms of analytical abilities. By combing both biotechnology and artificial intelligence we will be able to implement several methods in a very innovative way. On the other hand, they lead this field to several new possibilities. AI-based tools and applications are the major support system in the development of molecular structures based on the target market. Machine learning, a subset of artificial intelligence, aids in the calculation of permutations and combinations of bioactive components in order to determine the best
combination without the need for physical experimentation in the lab. Artificial intelligence is bringing improvements to biotechnology that can aid in predictive analysis to estimate the requirements of a particular drug or chemical on the market. Through the use of cloud computing, AI in Biotech can also assist in managing the allocation of raw materials required by the biotechnology industry.
Functions of Artificial Intelligence in the biotech industry:
•             Drugs and Vaccines Innovation
•             Faster Analysis of Healthcare data
•             Plant genome Studies
•             Global connection
Artificial intelligence and machine learning can be widely used in the field of drug discovery processes which comes under medicinal biotechnology. In the biotech industry, artificial intelligence and machine learning are widely used in fields such as clinical data management, illness prediction and prevention automation, and biomarker identification. Drugs and antibiotics are developed using living cells to improve human health. ML researches DNA and manipulates cells genetically to promote the production of critical and desirable traits. It helps in identifying the molecules which are known as the target component and also helps in diagnosing the diseases through visualizing the components. It can be used in radiation therapy which prevents further effects on the patients. Artificial Intelligence can be widely used in DNA sequencing from the data pool by grouping them into biological functions, and gene expressions and analyzing the protein structure, and the binding of the components, and predicting the protein structure which can be visualized virtually and then processed as a drug.












