Microsoft uses AI to build a database of human immune systems

With this new diagnostic method, with only one blood sample, you can even know what the sick person is.

Imagine a sheet of paper that records every meal you've eaten, every hand you've caught, and all the dust your eyes get - everything, multiplied millions of times. It's a comparison that shows you how much the body's immune system records how much data is. But with this new artificial intelligence project (AI) , Microsoft hopes that they can solve the database problem and through it, analyze the data to find out the patient's condition soon.

How soon? Only one blood test can be detected right away.

On the side of your immune system is a record of ALL health threats your body has experienced.

On the side of your immune system is a record of ALL health threats your body has experienced. If you encounter another disease - flu, cancer or anything you meet in the school restroom, your body will confirm what it is and will launch an attack. This mechanism works thanks to a special cell named .

If this immune system's immune cells contain information about all of the body germs that have been encountered, then when you extract that information, you will get a complete record of everything The body has encountered. That is Microsoft's current goal. They are now shaking hands with Seattle-based biotech company Adaptive to decipher that information.

Chad and Harlan Robins, founders of Adaptive.

"Your immune system will know what disease you have before the doctor examines you," Adaptive CEO Chad Robins told JP Morgan Health Care Conference. This idea, basically, is to record all data about how the immune system reacts in the human body. Using such data, we can diagnose all diseases with only one sample of the patient's blood.

And because of the huge amount of data (similar to the example at the beginning of the article), we will need the processing power of an artificial intelligence."We are looking for a pre-existing model in a very large space , " Peter Lee, vice president of AI Research at Microsoft, shared with Gizmodo. "In machine learning, this big problem is very welcome".

Your body is constantly exposed to new pathogens and the immune system is constantly dealing with them. The amount of data pouring in continuously, piling up into a mountain of data was already high. Information is still full there, but we have not read it yet.

The research path is strenuous and hard, but its results will be immense.

Chad Robins says that their initial efforts will be aimed at diseases that are difficult to diagnose but are "auto-immune" and that cancer has high mortality rates. During the above-mentioned health conference, lyme disease - an infection from the bite of a live tick species - can be the first candidate for this system. Most likely the first diagnostic tool will be available within the next 3 years.

The research path is strenuous and hard, but its results will be immense. A complete record of the human immune system will help physicians diagnose diseases early and more accurately without the need for complicated and complicated tests. Once these specific details of the human immune system are obtained, we will be able to predict how they will fight pathogens and infer future treatments more effectively.