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AI models need more data about biology, and OpenAI is paying to create it

Last year, the clinical trial policy analyst Ruxandra Teslo posted an idea for super-charging medical AI systems: use data from failed biotech companies. By bidding at their bankruptcy proceedings, she proposed, it might be possible to obtain detailed regulatory filings, manufacturing strategies, and safety data—information usually kept hidden as valuable trade secrets. She called these…

MIT Technology ReviewMIT Technology ReviewAntonio Regalado15 Sept

Healthcare AI’s next test is integration

The entrance of major AI companies into healthcare is a meaningful and welcome development, accelerating the technical foundation available to the industry. Their models are increasingly capable of processing long clinical records, interpreting complex terminology, comparing documentation against evidence and generating coherent summaries from large volumes of information. For clinicians, operators, and administrative teams who…

MIT Technology ReviewMIT Technology ReviewAndrew Ray10 Sept