A machine learning approach to identify clinical trials involving nanodrugs and nanodevices from ClinicalTrials.gov.

ABSTRACT:

Background

Clinical Trials (CTs) are essential for bridging the gap between experimental research on new drugs and their clinical application. Just like CTs for traditional drugs and biologics have helped accelerate the translation of biomedical findings into medical practice, CTs for nanodrugs and nanodevices could advance novel nanomaterials as agents for diagnosis and therapy. Although there is publicly available information about nanomedicine-related CTs, the online archiving of this information is carried out without adhering to criteria that discriminate between studies involving nanomaterials or nanotechnology-based processes (nano), and CTs that do not involve nanotechnology (non-nano). Finding out whether nanodrugs and nanodevices were involved in a study from CT summaries

SUBMITTER: de la Iglesia D 

PROVIDER: S-EPMC4210133 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature