Biotechnology lies in the middle of biology and technology. Through modern technologies, it uses biological processes, organisms, cells, molecules, and systems to create new products for the benefit of humanity and the planet. In addition, it contains laboratory research and development through bioinformatics to explore and extract from biomass through biochemical engineering to develop high-value products. Biotechnology operates in various fields, such as agriculture, medical, animal, industrial, and others.
White biotechnology, related to creating products demanding 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.
Each organization working in the biotechnology sphere maintains voluminous sets of data stored in databases. This data must also be filtrated and analyzed to be valid and applicable. Such operations as drug manufacturing, chemical analysis, enzyme studies, and other biological processes should be backed by computerized solid tools for high performance and accuracy, as well as helps to reduce manual errors.
One of the most helpful technologies that help to manage the biological processes, drug production, supply chain, and deal with data within biotech is Artificial Intelligence.
It interacts with data received through scientific literature and clinical data trial. AI also manages incommensurable clinical trial datasets and enables virtual screening and analyze the high volume of data. As a result, it reduces clinical trial costs and results in discoveries and insights for any field in which biotech operates.
Continue reading: https://readwrite.com/why-is-artificial-intelligence-crucial-for-biotechnology/
White biotechnology, related to creating products demanding 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.
Each organization working in the biotechnology sphere maintains voluminous sets of data stored in databases. This data must also be filtrated and analyzed to be valid and applicable. Such operations as drug manufacturing, chemical analysis, enzyme studies, and other biological processes should be backed by computerized solid tools for high performance and accuracy, as well as helps to reduce manual errors.
One of the most helpful technologies that help to manage the biological processes, drug production, supply chain, and deal with data within biotech is Artificial Intelligence.
It interacts with data received through scientific literature and clinical data trial. AI also manages incommensurable clinical trial datasets and enables virtual screening and analyze the high volume of data. As a result, it reduces clinical trial costs and results in discoveries and insights for any field in which biotech operates.
Continue reading: https://readwrite.com/why-is-artificial-intelligence-crucial-for-biotechnology/
