Status
Conditions
Treatments
Study type
Funder types
Identifiers
About
Discover, optimize, standardize, and validate clinical-trial measures and biomarkers used to diagnose and differentiate cardiovascular, oncologic, neurologic, and other diseases and disorders. Specifically, our research study endeavors to improve disease and disorder diagnosis to the earliest clinical states, in preclinical states, and to develop ensemble multivariate biomarker risk scores leading to cardiovascular, oncologic, neurologic, and other diseases and disorders.
Additionally, the study aims to:
Full description
Electronic medical records contain data that may indicate increased risk for certain diseases and disorders, but clinicians cannot easily discern the subtle patterns required to change their diagnostic and treatment patterns. This study seeks to use machine learning and data analysis techniques to increase diagnostic confidence and reduce time-to-diagnosis related to cardiovascular, oncologic, neurologic, and other diseases and disorders.
The study endeavors to develop ensemble multivariate biomarker risk scores to predict future development of diseases and disorders, improve diagnosis in preclinical states and increase diagnostic accuracy in the earliest clinical states. We also aim to evaluate data analysis techniques to improve diagnostic accuracy and reduce time to diagnosis, improve risk stratification for participants through machine learning algorithms and direct participants to relevant and applicable clinical trials upon physician review, approval and recommendation.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Treatment Naïve patients:
Salvage candidates will be accepted upon physician referral.
Exclusion criteria
2,000 participants in 5 patient groups
Loading...
Central trial contact
Erik W Peterson; Christopher R Hancock, MD,MBA
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal