Sure! I’d be happy to explain these concepts without using bullet points.

Imagine you’re putting together a giant puzzle – but instead of a picture, you’re trying to understand how cancer works and how to treat it better. To do this, you need lots of puzzle pieces, which are like pieces of information about cancer. These pieces come from different places, like genetic information from patients, details about how cancer cells behave, and results from tests and experiments.

Once you’ve gathered all these puzzle pieces, you need a special kind of brain to put them together and make sense of them. This brain is called artificial intelligence, or AI. It’s like a super-smart friend who can spot patterns that we might miss.

Now, let’s say you want to find a key to unlock a door in the puzzle – in this case, a drug that can help fight cancer. AI helps by creating a map of how different puzzle pieces fit together. This map, made by using something called machine learning, helps AI predict which pieces might work together to open the door.

With this map, AI can sift through a huge pile of keys (which represent different drug compounds) and pick out the ones that seem most likely to work. It’s like having a friend who can quickly point out the best keys in a box full of them.

But that’s not all – AI can also become a chemist and design new keys (or drug compounds) that might fit the lock even better. It does this by simulating how the keys interact with the lock (or how the drug interacts with cancer cells). It’s like your smart friend drawing new key designs and testing them virtually before making real keys.

So, the AI friend helps in finding the most promising keys from the ones we already have and even creates new key designs to fight cancer. This whole process helps scientists and doctors discover better ways to treat cancer, making it a bit like solving a puzzle to save lives.