Status
Conditions
Treatments
About
The aim of the study is to identify morphological and functional biomarkers of post-operative recovery after vitreoretinal surgery, using decisional support systems (DSS), based on multimodal big-data analysis by means of machine learning techniques in daily clinical practice
Full description
The aim of the study is to identify morphological and functional biomarkers of post-operative recovery after vitreoretinal surgery. Identifying the biomarkers and assessing the predictivity of recovery will make it possible to highlight the categories of patients who can benefit most from surgical treatment, and to target the patient more precisely for personalised medicine and surgery. The introduction of new decisional support systems (DSS), based on multimodal big-data analysis through machine learning techniques in daily clinical practice, is providing new useful information in patient assessment for personalised surgery.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
All patients to undergo vitreo-retinal surgery for:
Exclusion criteria
100 participants in 4 patient groups
Loading...
Central trial contact
Maria Cristina Savastano, MD,PhD; Alfonso Savastano, MD,PhD
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal