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AI Predicts Cancer, Reduces Animal Testing Amid 70% Failure Rate

6/8/2026

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Summary

Story summary

Dr. Amber Simpson, AI Chair at the University of Alberta, leads drug development to cut animal testing.
She says 70% of animal-tested drugs fail in humans, prompting AI to raise trial success.
She joined the university as a professor and now directs the Dianne and Irving Kipnes Health Research Institute.
Her lab’s AI predicts cancer outcomes from scans, earned FDA and Health Canada approval, detecting breast cancer in a trial.

History

Historical Context

After the FDA enacted the Animal Rule in 2002—allowing drug approvals based solely on animal efficacy data—the agency opened a path for alternatives to human trials. Today, Dr. Amber Simpson at the University of Alberta’s Research Institute uses AI to predict human drug responses, fulfilling the rule’s original aim of reducing animal testing 24 years later.

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Story summary

Dr. Amber Simpson, AI Chair at the University of Alberta, leads drug development to cut animal testing.
She says 70% of animal-tested drugs fail in humans, prompting AI to raise trial success.
She joined the university as a professor and now directs the Dianne and Irving Kipnes Health Research Institute.
Her lab’s AI predicts cancer outcomes from scans, earned FDA and Health Canada approval, detecting breast cancer in a trial.

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