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Application of Genomic Techniques and Image Processing Using Artificial Intelligence to Obtain a Predictor Model Risk of Melanoma

NCT02511119 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 300

Last updated 2015-07-30

No results posted yet for this study

Summary

The aim of this study is to develop a predictive model of risk of developing melanoma. The investigators will used artificial intelligence techniques to analysed images patterns obtained by clinical and dermoscopic pictures. The investigators want to defined a new predictive risk model obtained from genetic information and image analysis of pigmented lesions. This model could help to discriminate more accurately those patients who are most likely to develop melanoma in a high-risk population.

Conditions

Sponsors & Collaborators

  • Mount Sinai Hospital, New York

    collaborator OTHER

  • Maimónides Biomedical Research Institute of Córdoba

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2015-07-31
Primary Completion
2018-07-31

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Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02511119 on ClinicalTrials.gov