Multi-scale Spatio-Temporal Analysis of Research Data
MuSTARD is a singular project in the sense that investigators will develop a computational framework that is conceived as a common solution for disparate applications. This framework responds to a common need: the derivation of multi-scale spatio-temporal (ST) models equipped with statistical inference capabilities. Si
| Condition(s) | Colorectal Cancer |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | MuSTARD is a singular project in the sense that investigators will develop a computational framework that is conceived as a common solution for disparate applications. This framework responds to a common need: the derivation of multi-scale spatio-temporal (ST) models equipped with statistical inference capabilities. Since the sequencing of the human genome, a significant portion of clinical research has shifted to the study of precision medicine (PM), resulting in numerous breakthroughs in both non-communicable and infectious diseases. PM refers to disease treatment and prevention that considers variability in genes, environment, and lifestyle for each person. Main drivers of PM are the omics technologies . Omics data is obtained from new high-throughput instruments that generate massive v |
| Who can participate | Inclusion Criteria: * Diagnosis for colorectal cancer * Patients with cancer planned surgery * Absence of instability microsatellites * Absence of any other associated disease that can affect the cancer pathology Exclusion Criteria: * Patients who need an urgent surgery |
| Ages | 18 Years to 90 Years |
| Sex | All |
| Lead sponsor | Universidad de Granada |
| Locations | Granada, Granada, Spain |
| Start date | 2025-02-02 |
| NCT ID | NCT07189312 |
| Official listing | https://clinicaltrials.gov/study/NCT07189312 |