New AI model optimizes skin cancer treatments

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AI is the future of healthcare and can improve patient care drastically. Developments around AI are rapidly following one another. To stay up with the latest inventions, Innovation Origins has selected this news.

Researchers from the University of Helsinki have developed an artificial intelligence model. In practice, the AI model makes it possible to diagnose skin cancer with a blood test, determine the prognosis, and target therapies increasingly accurately, writes the university in a press release.

The research project was conducted in cooperation with the HUS Comprehensive Cancer Center, Aalto University, and Stanford University. Using the AI model, the group analyzed samples from nearly 500 skin cancer patients and compared them with the samples of almost 1,000 healthy individuals. To aid interpretation, the researchers used another AI model developed by Stanford University. From these samples, the researchers simply calculated the number of immune cells that recognized skin cancer.

Results and new applications

As expected, more skin cancer–sensing defensive cells were found in patients with the disease than in healthy patients. In addition, skin cancer patients who had more defensive cells that recognized skin cancer were more likely to benefit from therapies that activate the immune system than those lacking such cells.

“Before this study, doctors were unable to predict who will benefit from treatment that activates the defense system. The correct targeting of therapies is extremely important since drug therapies are expensive and serious adverse effects fairly common,” concludes doctor Jani Huuhtanen from the University of Helsinki and Aalto University. The researchers will now investigate if the AI model also works for other types of cancer.

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