How biotechs are using AI to rescue failed drugs

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How biotechs are using AI to rescue failed drugs

Biotech companies are leveraging artificial intelligence to salvage drugs that failed in clinical trials. With a staggering 90% of drugs not meeting their endpoints or facing safety concerns, AI offers a new avenue for repurposing these compounds. Companies like Ignota Labs and BioXcel Therapeutics are at the forefront, utilizing AI to address safety issues and enhance drug efficacy.

AI's role in drug development is transformative, allowing for rapid analysis of vast biomedical data to identify potential new uses for existing drugs. Ignota Labs focuses on resolving toxicity issues, while BioXcel Therapeutics aims to repurpose previously safe drugs for new therapeutic indications. This innovative approach not only saves time and resources but also holds the promise of delivering effective treatments to patients faster.

• AI helps repurpose failed drugs for new therapeutic uses.

• Ignota Labs addresses drug toxicity using AI technology.

Key AI Terms Mentioned in this Article

Artificial Intelligence

AI is used to analyze biomedical data for drug repurposing and development.

Machine Learning

Machine learning predicts drug interactions and potential new therapeutic targets.

Deep Learning

Deep learning models are employed to understand drug safety issues and optimize drug design.

Companies Mentioned in this Article

Ignota Labs

Ignota Labs uses AI to resolve toxicity issues in failed drugs and reintroduce them to trials.

BioXcel Therapeutics

BioXcel Therapeutics repurposes previously safe drugs for new indications, focusing on CNS disorders.

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