Scientists have created a new way to analyze complex biological data in a short period of time, thanks to the help of Google AI. This new method could accelerate the pace of scientific discovery and lead to new treatments for diseases.
In a paper published in the journal Nature Biotechnology, researchers from the University of California, Berkeley, describe how they used Google’s AI platform, TensorFlow, to train a computer model to identify patterns in large datasets. The model was able to learn the relationships between different genes, proteins, and other biological molecules, and to predict how they would interact with each other.
The researchers then used the model to analyze data from a study of cancer cells. The model was able to identify new patterns in the data that were not visible to the human eye. These patterns could provide clues to how cancer cells grow and spread.
The new method is a significant advance in the field of bioinformatics, which is the use of computers to analyze biological data. The method could be used to accelerate the pace of scientific discovery in a wide range of fields, including medicine, agriculture, and environmental science.
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