Viruses are all around us, and we currently haven’t classified even a fraction of that huge and diverse population. The tiny organisms that can only survive inside a living host can wreak havoc on our bodies, but that’s not the only reason researchers are so compelled by them.
We now know that viruses could be playing a part in “non viral diseases” such as liver cirrhosis, or even chronic fatigue syndrome and inflammatory bowel disease — but we still don’t understand how. To get there, we need machine learning.
Because viruses can’t be grown in the lab, scientists have traditionally looked for new species by sampling various diverse environments (including metro carriages and sewage systems). But picking single microbes out of the dirt is a slow process that makes it difficult for researchers to understand the behavior of fast-evolving viruses.
That’s where AI comes in. Machine learning is a form of artificial intelligence used to identify complex patterns — the algorithm gets trained through a pool of data before becoming autonomous, and can be used to scan massive genomic datasets in search of new viruses.
For example, Nature reports, bioinformatician Deyvid Amgarten, who works at the University of São Paulo in Brazil, used machine learning to identify virus genomes hidden in compost piles at the city’s zoo. He told Nature he will use his findings to learn how viruses can help break down organic matter and make composting more efficient. Read more from futurism.com…
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