Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

2 clinical studies listed.

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Systemic Diseases

Tundra lists 2 Systemic Diseases clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.

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COMPLETED

NCT00001505

The Acquisition of Blood and Skin Samples From Normal Volunteers to Support Research Activities on Dermatologic Diseases

Background: -This protocol is concerned with the acquisition of blood, skin, or mucosal samples from healthy volunteers or patients with selected skin diseases to support the basic science and clinical research activities of the Dermatology Branch and other intramural Laboratories and Branches at the NIH Clinical Research Center. Objectives: (Primary) -To allow collection of blood, skin, or mucosal samples from healthy volunteers or patients with selected skin or systemic diseases as needed to support the research activities of our Branch and other Laboratories and Branches. Eligibility: * Healthy individuals (including employees and other patients) and patients with selected skin or other diseases, including individuals of both genders and all racial/ethnic groups. * Patient volunteers must be willing to undergo blood drawing and/or skin/mucosal biopsies. Design: -This is dependent upon the particular investigation for which these samples are needed....

Gender: All

Ages: 18 Years - 100 Years

Updated: 2026-10-29

1 state

Healthy Volunteer
Dermatologic Diseases
Systemic Diseases
COMPLETED

NCT07581925

Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning

Oculomics is an emerging interdisciplinary field that deciphers multi-dimensional, high-throughput ocular data to predict, diagnose, and monitor systemic diseases and health span.In recent years, artificial Intelligence may provide insight into exploring the potential covert association behind and reveal some early ocular architecture changes in individuals with systemic diseases. The investigators conducted a survey to explore the association between the eye and systemic diseases via deep learning, to develop and evaluate different deep learning models to predict the systemic diseases such as hepatobiliary disease by using ocular images.

Gender: All

Ages: 18 Years - Any

Updated: 2026-09-01

1 state

Ophthalmology
Artificial Intelligence (AI)
Hepatobiliary Diseases
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