AI mines 700 patient records to uncover sarcoma survival clues
NCT ID NCT07215728
First seen Nov 01, 2025 · Last updated May 25, 2026 · Updated 30 times
Summary
This study looked back at the electronic health records of 700 people diagnosed with osteosarcoma or Ewing's sarcoma between 2003 and 2012. Researchers used machine learning to find patterns in the data, focusing on how long patients survived. The goal was to learn more about these rare bone cancers, not to test a new treatment.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.