Last reviewed · How we verify

NCT03304990

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

Withdrawn Last updated 22 July 2020
What this trial tests

trial testing Patients with CA or suspected risk of CA or a family Hx in Cancer. Withdrawn.

Timeline
29 November 2018
Primary endpoint
1 January 2019
1 January 2019

Quick facts

Lead sponsorGreater Baltimore Medical Center
StatusWithdrawn
Study typeOBSERVATIONAL
Start date29 November 2018
Primary completion1 January 2019
Estimated completion1 January 2019
Sites1 location across United States

Drugs / interventions tested

Conditions studied

Sponsor

Greater Baltimore Medical Center

Who can join

18 and older, any sex, with Cancer or Patients With Clinical and Environmental Risk Factors for Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

Verify or expand the search:

Other recruiting trials for Cancer

Currently open trials in the same condition.

Other Greater Baltimore Medical Center trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT03304990.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing