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AI that can see pain in a mouse’s face could aid drug development

A new artificial intelligence that monitors mice grimaces to score their pain from 0 to 8 may help researchers judge the effectiveness of a new pain-relieving treatment
An artificial intelligence could gauge how much pain a laboratory mouse is in based on its grimaces, potentially aiding the development of pain-relieving drugs
An artificial intelligence could gauge how much pain a laboratory mouse is in based on its grimaces, potentially aiding the development of pain-relieving drugs
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A new artificial intelligence (AI) estimates how much pain a mouse is in by analysing its facial grimaces. Researchers hope the tool will give scientists a better understanding of how effective a pain-relief drug is and increase the number of pain-related experiments they can analyse at one time.

Many pain treatments are first tested in mice by assessing a rodent’s discomfort after drug administration. But these assessments can be subjective and differ between researchers, says at the University of North Carolina.

“The new person you train up, say they’re a grad student, may not score the mouse’s pain in precisely the same way as you,” he says.

In an effort to overcome this issue, Zylka and his colleagues devised a tool to do the job, focusing on so-called black-coated mice. Also known as C57BL/6, these animals are commonly used in pain research.

They recorded more than 270 videos of black-coated mice in various settings, including after a laparotomy, which is an abdominal cut. The researchers specifically looked at the rodents’ upper face, whiskers, nose and ears.

Next, they took hundreds of frames from each video, scoring them based on a commonly used pain grimace scale for mice. Altogether, more than 70,000 frames were scored.

The researchers then fed this data into a machine-learning model.

The resulting AI, coined PainFace, allows researchers to upload a video of their black-coated mouse experiment. The AI then judges how much pain a given rodent is in on a scale of 0 to 8.

When put to the test, the AI was no worse at judging a mouse’s pain than when the rodent’s discomfort was assessed by a human. Moreover, the AI was at least 100 times faster, says Zylka.

He hopes the tool will one day change the way new pain-relief drugs are tested.

“In a lab, you may take a 30-minute video of a mouse and then pain-score about 10 frames,” says Zylka. “Whereas now, you can take that same video and score thousands of frames and it basically takes no time.”

The tool will also make it easier to scale up the number of animals and drug doses you can study at one time, he says.

Although only tested in black-coated mice to date, Zylka says there is no reason why PainFace wouldn’t work with other laboratory animals. The team is working on adding white mice images to the model.

PainFace’s main limitation is mice must be videoed in specially designed cages to capture their grimaces in the clearest detail, says Zylka.

“This new software can improve our way of analysing grimace score [in mice],” says at the University of Reading, in the UK. “Moreover, the use of PainFace can reduce human error behind manual scoring and produce data which can be easily compared across different pain labs”.

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Topics: Artificial intelligence / Pain