Tom had a brain tumor.

Parasagittal astrocytoma.

Brain cancer. The surgery left me with a terrible scar.

This is a tumor dark, gray, ominous mass growing inside a brain.

The tumor's still small.

But there's been a significant reduction in the tumors.

Tumors?

(Laughter)

The cancer.

But this technology could not find tumors when they're small, and finding a small tumor is critical for survival.

Night terrors can be caused by a brain tumor.

Women suffer from that disease.

And one afternoon, I got a call from my doctor.

Walt, your tumor has shrunk by 80 percent.

So on. So this example...

You have hypothalamus Hamartoma, the doctor feels you need surgery

What is it? A tumor?

However, in the presence of the tumor, now there are molecular scissors that can break this molecule apart right there at the cleavable site.

But what we can see is, by month six, the tumor has responded and it's begun to melt away.

The first cancer that we have focused on is the deadly brain cancer, GBM.

And I imagined a doctor coming to me and saying,

I'm attracted to her.

No spots. No clots, no tumors.

But even before I peel that muscle away, you saw that there was a tumor underneath.

Our big break came in 2004.

It was a rare gem a brain tumor, hemangioblastoma the gift that keeps on giving.

As you can see, it's blocking her vision.

First of all, these electrodes are noninvasive.

We r emoved a tumor fr om her brain.

And it was discovered that my brother, in 1967, and then my father, six months later, had brain tumors.

So it's easy to see this tumor in the upper part of this fatty breast.

And now, boom, the tumor labels itself and it gets fluorescent.

That's impressive.

I'm always interested to look at DNA and mutations.

I can hear his voice echoing in the halls,

I extracted DNA from them.

When we put these two probes together ...

Henriapi illustrates this phenomenon as well.

He has extensive experience in tumor removal.

Only instead of, you know, good and bad cancer tumors or benign or malignant tumors we instead have diabetes or not and so we will use that as a supervised, we will solve that as a Supervised Learning problem just like we did for the breast tumor data.

Some recent stories nanobees zap tumors with real bee venom they're sending genes into the brain a robot they built that can crawl through the human body.

So here's a tumor.

We didn't sequence his genome.

The molecule passes through and gets excreted.

How about more targeted therapies for cancer?