Imagine you're helping your friend find their favorite toy in a big messy room, that’s what machine learning does for finding new drugs.
You see, doctors use drugs to help people feel better when they’re sick. But finding these drugs can take a long time, sometimes years! That's where machine learning comes in.
Like a Super Helper
Think of machine learning as your super helper who knows exactly where your friend’s favorite toy is, even if the room is completely messy. This helper uses clues, like what the toy looks like or how it feels, to find it quickly.
In drug discovery, this super helper looks at lots of information about different drugs, like what they do and how they work. It learns from all these clues and can guess which new drug might help someone get better, just like finding a toy in a messy room!
Fast and Smart
This smart helper doesn’t need to try every single drug one by one, like your friend would have to do if they looked everywhere. Instead, it uses what it has learned to pick the best drugs first, making the whole process faster and smarter!
Examples
- The computer guesses which chemicals could work together in a new drug
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See also
- Can artificial intelligence contribute to the discovery of new physics theories?
- But What Is Overfitting in Machine Learning?
- How AI really works (...it’s not actually intelligent)?
- How Does The Essential Main Ideas of Neural Networks Work?
- How Does Machine Learning Explained in 100 Seconds Work?