Closing the data loop in AI-driven drug discovery

Since the 1950s, the cost of developing new drugs has doubled roughly every nine years, with failure rates above 90% and costs reaching $1B–$2.5B. AI is shifting drug discovery from empirical screening to predictive design, but requires robust data and lab integration.