NCT07189312Recruiting
Multi-scale Spatio-Temporal Analysis of Research Data
Source: ClinicalTrials.gov · Last updated 28 Apr 2026
Brief summary (registry, in English)
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 volumes of data. It is also notoriously complex data to analyze. In the last years, new separation technology has allowed us to measure omics data at single-cell resolution, creating a new (and even more complex) type of data generally referred to as single-cell omics. This allow us to study the spatial distribution of omics in a sample. Spatial and single cell omics represents one of the most powerful approaches today to understand cancer propagation in both time and space. Spatial omics. Unfortunately, there are no computational tools that can readily combine the nature of this new type of data with powerful statistical inference. Furthermore, spatially resolved omics experiments with repeated measures is another form of complex ST data. MuSTARD will provide a new computational framework that can handle ST omics to understand colorectal cancer propagation in both time and space, and leverage it in a new clinical study of reduced sample size (15 patients). The MuSTARD computational framework applied to ST omics will be made available for the general community in the form of open software.
- Status (registry)
- Recruiting
- Study type
- Observational
- Enrollment
- 15 (estimated)
- First submitted
- 9 Sept 2025
- Start date
- 2 Feb 2025
- Primary completion date
- 28 Feb 2026
- Lead sponsor
- Universidad de Granada
- Diseases
- Colorectal cancer
- NCT number
- NCT07189312
What you commit to
- Study type: Observational
- Planned participants: 15
- From 2 Feb 2025 to the primary completion date, 28 Feb 2026
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Patients who need an urgent surgery
Who the study is looking for
- 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
Age in the registry: 18 years to 90 years · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Virgen de las Nieves Hospital Coordinator of this site? Confirm its status | Granada | Spain | Recruiting |
This page is information, not medical advice. Discuss any trial with your doctor.