Cutting-edge, machine-learning techniques are increasingly being adapted and applied to biological data, including for COVID-19.
The big picture: Discovering and developing a new drug typically takes more than a decade and costs on average close to $1 billion, making it difficult to build a cache of pharmaceuticals to fight future pandemics or stop intractable diseases.
But scientists are combining two scientific leaps — in machine-learning algorithms and powerful biological imaging and sequencing tools — to try to spur progress in understanding diseases and advance AI itself.
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