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Breakthrough Test Detect Brain Caner EARLY!

I’ve told you about the invisible dangers emanating from your cell phones.

Electromagnetic frequencies (EMF) are a major health threat that is being downplayed (re: covered up) by the government and major health organizations.

Case in point: The uptick in brain tumors that can by hours of pressing your cell phone up to your ear.

Brain tumors are difficult to diagnose, which means they’re often not caught until they’re far more advanced (when the prognosis is much worse).

But a recent discovery could change how brain cancer is diagnosed and treated.

If you start complaining of a headache, your first thought probably ISN’T that it’s being caused by a brain tumor.

That’s one of the main reasons these tumors are so difficult to diagnose. Their symptoms are nonspecific, and include things like headache and memory issues—not the kind of complaints that make a doctor think “tumor.”

And definitely not serious enough to warrant ordering brain imaging.

The problem is that a later diagnosis equals a poorer outlook.

But that could all be about to change.

Using what sounds like futuristic technology, researchers used infrared light plus machine learning technology (aka, artificial intelligence) to identify brain cancer with a simple blood test.

Essentially the infrared light technology created a type of “fingerprint” of brain cancer, and then applied artificial intelligence to use these fingerprints to diagnose brain cancer.

If that sounds complicated, that’s ok. Here’s the main point to remember:

This test was able to correctly identify brain cancer 87% of the time.

This represents a simple, non-invasive, cost-effective way to QUICKLY identify the possibility of cancer. This information would then alert your doctor to the need for brain imaging.

A faster diagnosis equals faster treatment, which leads to better outcomes.

And since cell phones and other EMF-emitting devices are here to stay, this technology has been developed exactly when we need it most.