Artificial intelligence software details the plasma jet used to treat cancer

Mondo Science Updated on 2024-03-06

Artificial intelligence software has been developed to enhance the medical effects of using a jet of charged gas called plasma. Computers can** plasma devices release chemicals that can be used for cancer, promoting healthy tissue growth, and disinfecting surfaces.

The software learns to use the data collected in real-world experiments and the laws of physics as a guide to ** the chemical mixture that is ejected from the jet. This type of artificial intelligence (AI) is called machine learning because the system learns based on the information provided. The researchers involved in the project published an article about their ** in the Journal of Physics D: Applied Physics.

The plasma studied in the experiment is called the Cold Atmosphere Plasma (CAP). When the CAP jet is turned on, a large number of chemicals in the plasma are involved in thousands of reactions. These chemicals alter the cells that are receiving ** in different ways, depending on the chemical composition of the jet. While scientists know that CAPs can be used to kill cancer cells, wounds, and kill bacteria in food, the reason for this is not fully understood.

"This research is a step toward a deeper understanding of how and why CAP jets work, and could one day be used to improve their uses," said Yevgeny Raitses, managing principal research physicist at the U.S. Department of Energy's Princeton Plasma Physics Laboratory. ” pppl)。

The project was done by the Princeton Cryogenic Plasma Cooperative Research Facility (PCRF), a collaborative project of researchers from PPPL and George Washington University (GWU).

PPPL's work continues to grow, combining its 70 years of groundbreaking plasma research with its expertise in artificial intelligence to solve societal problems. The lab's mission is not limited to the use of plasma to generate fusion energy, but also extends to fields such as medicine and manufacturing.

The software uses a method called a Physical Information Neural Network (PNN). In pinn, data is organized into sections called nodes and neurons. Data streams mimic the way the human brain processes information. The laws of physics are also added to the **.

Sophia Gersman, PCRF's lead PPPL research engineer working on the collaboration, said: "It's important to understand what's coming out of a jet. It is very difficult to understand exactly what is squirting. The process requires several different types of equipment to collect different types of information about the aircraft.

In practical research, it is difficult to utilize all the various technologically advanced diagnostic methods at the same time for each device and the various types of surfaces we deal with," explains Gershman.

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