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2 articles from the last 30 days matching "patient information"

ResearchPUBMEDMay 9

Architectural and translational perspectives on clinical decision support systems for rare disease diagnosis: a scoping review.

Doctors struggle to diagnose rare diseases because there are so many different symptoms and they don't see these diseases often. This article reviews computer programs designed to help doctors recognize and diagnose rare diseases faster and more accurately by organizing patient information and using artificial intelligence to spot patterns.

WHY IT MATTERSIf you're struggling to get a diagnosis for a rare disease, these computer decision support tools could help your doctors recognize your condition faster by analyzing your symptoms more systematically than traditional methods alone.
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ResearchPUBMEDMay 1

Leveraging real-world data to conduct externally controlled trial for rare diseases with count-type endpoints: utilizing multiple entries - a simulation study.

Scientists are testing a new way to run drug trials for rare diseases where there aren't enough patients. Instead of only comparing patients at one specific time point, this method allows researchers to use patient information from multiple different dates. This could make it easier and faster to test new medicines for rare diseases without needing as many people in the study.

WHY IT MATTERSIf this method gets adopted by regulators, it could speed up approval timelines for rare disease treatments by allowing researchers to use more real-world patient data, potentially bringing new therapies to patients years sooner.
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