How AI is supercharging drug development
Summary
Artificial intelligence (AI) is helping drug companies develop medicines much faster and cheaper before testing them on people. A recent survey shows AI tools could reduce early research costs and time by up to 70%, leading to more new drugs in the next five years.Key Facts
- A survey of 80 biopharma leaders found AI cuts preclinical drug development costs and timelines by about 70%.
- AI tools include software, gene sequencing, and computer models that run many virtual experiments quickly.
- AI supports research before human testing but cannot replace scientists’ judgment or lab work.
- New U.S. policies aim to reduce animal testing by using computers and 3D human tissue models instead.
- Spending on AI and lab technology in drug research could increase by $1 billion over a few years.
- Despite advances, no AI-discovered drug has yet been approved by the FDA.
- Challenges include accounting for how different humans respond to drugs, keeping failure rates high around 90%.
- China is investing heavily in biotech, competing with the U.S. by offering lower costs and faster results.
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