AI analyzes 700 sarcoma cases to unlock survival secrets
NCT ID NCT07215728
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
Researchers used machine learning to analyze electronic health records from 700 patients with osteosarcoma or Ewing's sarcoma. The goal was to find patterns in survival and other outcomes. No new treatment was tested; instead, the study aimed to learn from existing data to potentially improve future care.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could help doctors better predict outcomes for sarcoma patients and guide more personalized treatment plans.
- What could go wrong
- This is a retrospective data analysis, not a treatment trial. The findings may not apply to all patients or lead to immediate changes in care.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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700 people
The number who actually took part.
- Started
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Jan 2003
- Finished
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Dec 2012
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Information unavailable.
- Ages
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21 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion criteria: confirmed diagnosis of osteosarcoma or Ewing sarcoma between 2003 and 2012 at the IRCCS Rizzoli Orthopaedic Institute. Exclusion criteria: diagnosis other than osteosarcoma or Ewing sarcoma and/or diagnosis made before 2003 and after 2012.
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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.
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Other studies related to the condition(s) this trial covers.
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