AI is enhancing clinical trials by improving trial design, patient recruitment, and outcome prediction. Companies like Altis Labs use AI to analyze imaging data, generating predictive biomarkers that are utilized by major pharma companies to refine efficacy measurements, boosting trial precision and reducing costs.
“The major driver of the extremely high costs in drug development is the fact that 95% of drugs fail at the clinical stage,” said Felix Baldauf-Lenschen, founder and CEO of the Canadian company Altis Labs. “This means a new approval basically has to pay for all of the previous failures.”
“Some of the highest impact applications of AI in clinical trials are the ones that get to the heart of this challenge. They can aid in identifying the most efficacious drugs earlier in the clinic and get these to market faster and more cheaply while identifying drugs that won’t be efficacious and deprioritize them sooner.”
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