Clin2
NCT07239297Possibly a fitEnrolling by invitation

Pathology study using existing patient data

Pancancer

Part of Cancer clinical trials.

This trial reviews stored tissue slides and medical records to build better computer models for diagnosing diseases. No new treatments are tested.

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

Phase
N/A
Enrollment
2,000 people
Ages
18 years to 75 years
Study type
Observational

Who can take part

  • You are between 18 and 75 years old
  • You have complete tissue slides and medical records available
  • Your tissue samples are in good enough quality for analysis

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.

Similar studies

Other trials that look related to this one.

NCT07157618Recruiting
Pathology study for patients with slides and records

This trial uses your stored tissue slides and medical history to build a better pathology research tool. It may help future patients get more accurate diagnoses.

Guangzhou, Guangdong
NCT07269236Enrolling by invitation
Study of AI using medical images and records

This trial uses artificial intelligence to analyze your pathology slides, radiology images, and medical records together. It aims to see how well AI can help with diagnosis or treatment planning, and you may qualify if your medical data is available and of good quality.

Guangzhou, Guangdong
NCT05380414Recruiting
Study of advanced pancreatic cancer using tumor tissue profiles

This study looks at advanced or metastatic pancreatic cancer patients and uses stored tumor tissue to learn what may predict treatment outcomes. You may be able to join if you have had limited prior chemotherapy and can provide an archived tissue sample.

Lyon
NCT02869802Recruiting
Study types of pancreatic cancer using tumor gene testing

This trial studies metastatic pancreatic cancer by taking a small tissue sample and analyzing its genes. It may help doctors better understand which cancer subtypes patients have, which can guide future treatment choices.

Calgary, Alberta
NCT06055010Recruiting
Improving pancreatic cancer care with computer science

This study uses data from patients with pancreatic conditions and healthy people to improve care through computer analysis. It may help researchers develop better tools for diagnosis and treatment.

Utrecht
NCT07171515Enrolling by invitation
Pancreatic Cancer Registry Study

This study collects information from people diagnosed with pancreatic cancer. It aims to improve care by learning from your medical records.

Goyang, Gyeonggido

Hear when a new Pancancer trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.