Clin2
NCT06447532Possibly a fitEnrolling by invitation

Machine learning to track inflammation in breast cancer

Breast Cancer

Part of Cancer, Skin clinical trials.

This study uses a computer program to look at blood test results from women treated for breast cancer. The goal is to see if patterns in inflammation markers can help predict outcomes.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
4,500 people
Ages
18 years to 75 years
Study type
Observational

Who can take part

  • You are a woman between 18 and 75 years old.
  • You were diagnosed with invasive breast cancer (confirmed by a biopsy) between January 2013 and December 2018.
  • You had a complete blood count done before your breast surgery or before starting chemotherapy.
  • You do not have any blood disorders.
  • You have not had breast cancer in both breasts or inflammatory breast cancer.
  • You are not pregnant or breastfeeding, and your cancer has not come back.

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

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