Why is artificial intelligence crucial for biotechnology?

Biotechnology sits in the middle of biology and technology. Using modern technologies, it uses biological processes, organisms, cells, molecules and systems to create new products for the benefit of humanity and the planet. Also, it contains laboratory research and development through bioinformatics to explore and extract biomass through biochemical engineering to develop high-value products. Biotechnology operates in various fields, such as agriculture, medical, animal, industrial and others.

White biotechnology, linked to the creation of products requiring chemical processes from biomass, can also be one of the solutions to the energy crisis by producing biofuel. The latter can be used for vehicles or heating.

Every organization working in the field of biotechnology maintains large sets of data stored in databases. This data must also be filtered and analyzed to be valid and applicable. Operations such as drug manufacturing, chemical analysis, enzyme studies, and other biological processes must be supported by robust computer-based tools for high performance and accuracy, and to reduce manual errors.

> Artificial intelligence is one of the most useful technologies to manage biological processes, drug production, supply chain and process data within biotechnology.

It interacts with data received through scientific literature and clinical data trials. AI also manages immeasurable clinical trial datasets and enables virtual screening and analysis of the high volume of data. As a result, it reduces clinical trial costs and generates discoveries and insights for all areas in which biotechnology operates.

More predictable data makes it easier to create work processes and operations, improve the speed of performance and accuracy of procedures, and make decision-making more efficient. 79% say AI technology is impacting workflows and becoming crucial to productivity.

All of these results become more cost-effective solutions. Estimated revenue generated from AI has increased by TN$1.2 over the past three years.

Benefits of using artificial intelligence in biotechnology.

AI is applied to various fields, but the most important is the use of AI in medical care. Although the ability of such technology to categorize data and perform predictive analysis is beneficial for any scientific sphere.

Data management and analysis

Scientific data is constantly expanding and needs to be organized in a meaningful way. This process is complicated and time-consuming: scientists have to perform repetitive and cumbersome tasks, which must be performed with great care.

The data they work with is an important part of the research process, leading to high costs and wasted energy in the event of failure. Additionally, many types of research do not lead to practical solutions because they cannot be translated into human language. AI programs help in automating data maintenance and analysis. AI-enhanced open-source platforms help reduce the repetitive, manual, and time-consuming tasks lab workers have to perform, allowing them to focus on innovation-driven operations.

Gene editing, chemical compositions, pharmacological investigations, and other critical computing tasks are thoroughly reviewed for faster, more reliable results.

Effective data maintenance is indeed crucial for every scientific sector. However, the most important benefit of AI is its ability to organize and systematize data into forms and achieve predictable results.

Stimulating innovations in the medical field

Over the past decade, we have faced the urgent need for innovation in the manufacturing and deployment of pharmaceuticals, industrial chemicals, food-grade chemicals and other raw materials related to the biochemistry.

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AI in biotechnology is essential to foster innovation throughout the life cycle of a drug or chemical compound and in laboratories.

It helps find the right combination of chemicals by calculating permutations and combinations of different compounds without manual lab tests. In addition, cloud computing makes the distribution of raw materials used in biotechnology more efficient.

In 2021, the DeepMind research laboratory developed the most co...