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Panomics Relationships in the Epidemiology of Cancer Through In Silico Expression (PRECISE)

NCT03304990 · Status: WITHDRAWN · Type: OBSERVATIONAL

Last updated 2020-07-22

No results posted yet for this study

Summary

PRECISE is a study to discover new detection, prognosis and treatment biomarkers for cancer. This is a prospective, multi-center, observational study designed to collect de-identified biospecimens and clinical data from a large cohort of participants from clinical research networks in the United States. In this study, the investigators propose creating a large-scale normalized panomics dataset specifically designed for deep learning-based in silico analysis for biomarker discovery.

Conditions

  • Cancer
  • Patients With Clinical and Environmental Risk Factors for Cancer
  • Patients With a Suspected or Confirmed Diagnosis of Cancer

Interventions

OTHER

Patients with CA or suspected risk of CA or a family Hx

Patients with Family History of Cancer, (ii) Patients with Clinical and Environmental Risk Factors for Cancer, (iii) Patients with a Suspected or Confirmed Diagnosis of Cancer.

Sponsors & Collaborators

  • Greater Baltimore Medical Center

    lead OTHER

Principal Investigators

  • Neri Cohen · Greater Baltimore Medical Center IRB

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2018-11-29
Primary Completion
2019-01-01
Completion
2019-01-01

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03304990 on ClinicalTrials.gov