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FDA to use AI to track clinical trials in real time
Why it matters: Agency leaders portrayed the move as a major step toward keeping U.S. biomedical research competitive against countries like China. Driving the news: The agency announced the launch of two "proof of concept" real-time trials to view safety and efficacy signals for an AstraZeneca drug used to treat lymphoma and an Amgen drug for small cell lung carcinoma. * It also solicited public comments for a broader pilot program for real-time trials that could launch this summer. It will be aligned with an AI risk management framework developed by the National Institute of Standards and Technology. * The process could circumvent what officials call a bottleneck in drug development, in which results from trial sites are reported to manufacturers, who then analyze and submit data to the FDA. What they're saying: "Today is a milestone day for us to challenge the assumption that it takes 10 to 12 years for a new drug to come to market," FDA commissioner Marty Makary told reporters. * On average, 45% of the time between a Phase 1 clinical trial and submission of an application to the FDA is "dead time" spent on paperwork and other administrative tasks, he said. * The new initiative seeks to cut down on that time to move the process faster "without cutting any corners on safety," he said. FDA chief AI officer Jeremy Walsh told reporters "there is opportunity to shave off" as much as "20, 30, 40% of an overall clinical trial time."
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FDA Moves to Real-Time Clinical Trial Patient Monitoring, Faster Drug Review
By Deanna Neff HealthDay ReporterWEDNESDAY, April 29, 2026 (HealthDay News) -- The U.S. Food and Drug Administration (FDA) is moving to speed drug development and review by launching real-time clinical trials. The move could soon mean more options for patients who need life-saving medications. The agency announced Tuesday that it has completed the first tests of a system that allows FDA scientists to see safety and effectiveness data from patients as it is collected. This shift aims to turn the traditional, stop-and-go process of drug testing and reporting into a continuous stream of live data. Drug development now happens in distinct stages. When one phase ends, there is often a long pause while researchers compile data to report to the FDA and wait for approval to start the next step. By using artificial intelligence and modern data science, the FDA hopes to eliminate these gaps entirely. "For 60 years, we've been conducting clinical trials in the same way, where key data signals can take years to reach the FDA. The lag time can delay regulatory decisions unnecessarily and slow down the drug development timeline," FDA Commissioner Dr. Marty Makary said in a news release. By seeing safety signals in real time, the FDA aims to identify potential risks or breakthrough successes immediately, rather than waiting for a final report months later. The agency highlighted two trials already using this technology. AstraZeneca is testing a treatment for mantle cell lymphoma, while Amgen is conducting a trial for small cell lung cancer. In both cases, the drug developers are sharing live signals with the FDA, showing that the technology appears ready for the mainstream. The technology they're using is embeded into workflows at hospitals through companies like Paradigm Health. Its AI-powered platform was used for AstraZeneca's multi-site lymphoma trial, capturing data directly from a patient's electronic health record and other sources, and reported to the FDA in real time. Jeremy Walsh, the FDA's chief AI officer, said the human cost of waiting for data is too high. "Real-time trials have been talked about for years," he said. "We demonstrated that it is not only possible, but also potentially transformative for the clinical trials ecosystem." The FDA has released a Request for Information to help design a larger pilot program launching this summer. The agency is looking for feedback from scientists and drug makers through May 29, to ensure the system is both efficient and secure. More information Learn more about clinical research at ClinicalTrials.gov. SOURCES: U.S. Food and Drug Administration, news release, April 28, 2026; Paradigm Health, news release, April 28, 2026
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The FDA announced its first real-time clinical trials using AI to track patient safety and effectiveness data as it's collected. The initiative could reduce drug development time by 20-40% by eliminating administrative delays that currently consume 45% of the timeline between Phase 1 trials and FDA submissions.
The FDA has completed its first proof of concept tests for real-time clinical trials that use AI to monitor patient safety and effectiveness data as it flows directly from trial sites
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. The agency announced two active trials—an AstraZeneca treatment for mantle cell lymphoma and an Amgen drug for small cell lung carcinoma—where developers share live safety and efficacy signals with regulators instead of waiting months to compile final reports1
. This marks a fundamental shift from the stop-and-go process that has defined drug development for six decades, where clinical trials move through distinct phases with long pauses between each stage .
Source: Axios
FDA Commissioner Marty Makary told reporters that on average, 45% of the time between a Phase 1 clinical trial and submission of an application to the FDA is "dead time" spent on paperwork and other administrative tasks
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. The agency's chief AI officer, Jeremy Walsh, indicated there is opportunity to shave off as much as 20-40% of overall clinical trial time through this approach1
. "Today is a milestone day for us to challenge the assumption that it takes 10 to 12 years for a new drug to come to market," Makary stated, emphasizing the initiative seeks to accelerate drug development "without cutting any corners on safety"1
. The traditional process creates bottlenecks where results from trial sites are reported to manufacturers, who then analyze and submit data to the FDA—a sequence the new system aims to circumvent entirely1
.The AI-powered technology embedded into hospital workflows captures data directly from electronic health records and other sources at trial sites
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. Companies like Paradigm Health provided the platform used for AstraZeneca's multi-site lymphoma trial, demonstrating that the technology appears ready for broader deployment2
. By applying modern data science methods, the FDA can now identify potential risks or breakthrough successes immediately rather than waiting for final reports months after data collection2
. "For 60 years, we've been conducting clinical trials in the same way, where key data signals can take years to reach the FDA," Makary said in a news release, highlighting how the lag time has delayed regulatory decisions unnecessarily2
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The FDA has solicited public comments for a broader pilot program that could launch this summer, releasing a Request for Information to gather feedback from scientists and drug makers through May 29
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. The pilot program will align with an AI risk management framework developed by the National Institute of Standards and Technology to ensure the system remains both efficient and secure1
. Jeremy Walsh emphasized the human cost of waiting for data, noting that "real-time trials have been talked about for years" but the agency has now "demonstrated that it is not only possible, but also potentially transformative for the clinical trials ecosystem"2
. Agency leaders portrayed the move as essential for keeping U.S. biomedical research competitive against countries like China, suggesting faster drug review processes could determine which nations lead in pharmaceutical innovation1
. For patients who need life-saving medications, the shift could soon mean more treatment options reach them years earlier than under the current system2
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