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Showing 1-6 of 6 trials for Skin-health
Recruiting

A Pilot Study to Evaluate the Expanded Reach of Decentralized Digital Skin Health Clinical Studies

Florida · Apopka, FL

This is a randomized, decentralized, non-interventional clinical study. The primary objective of this study is to develop execution and efficiency metrics from completion of this study to inform on the potential design for future projects. The secondary objective of this study is to assess the main study endpoints across balanced attributes of study sub-populations.

Recruiting

Effects of Mango or Low-Fat Cookie Consumption on Gut Health, and Its Relationship With Mental, Sexual and Skin Health

California · San Diego, CA

The objective of the proposed research is to determine the effects of fresh mango consumption on gut microbiome, and its relationship with skin health, sexual and mental health in relatively healthy adults.

Recruiting

Adding Polyphenol-rich Pulses to Daily Diet Improves Skin Health by Reshaping the Skin Microbiome

Florida · Gainesville, FL

Skin health is influenced by the microbiome, lipids, oxidative stress, inflammation, and UV exposure. A 14-week trial with 50 women aged 45-65 will test if polyphenol-rich pulses improve skin health by affecting these factors. Using a white rice control diet, the study will measure skin parameters and analyze correlations with changes in lipids and microbiome, potentially proving the benefits of pulses.

Recruiting

Effects of 100% Orange Juice on Skin Health in Women

Florida · Gainesville, FL

Daily consumption of Orange Juice (OJ) protects skin against UV-induced damages and wrinkling, improves skin barrier function and overall skin health by decreasing oxidative stress, inflammation, and protein glycation. The positive effects of OJ on skin appearance are associated with improvements of the stratum corneum lipidomic and skin microbiome.

Recruiting

The Effect of Nutritional Supplementation on Actinic Purpura: A Pilot Study

North Carolina · Kannapolis, NC

Purpura is a macule or papule of blood in the skin. It is mostly seen in mature skin that is often prone to significant bruising. Small lesions of less than 5 mm are called petechiae and larger ones, found mostly in subcutaneous tissue, are called ecchymosis. Actinic purpura occurs almost exclusively in elderly populations. This single-blind randomized clinical trial evaluates the effect of an 8-week nutritional supplement intervention in comparison with isolated vitamin C supplements on actinic purpura in older adults. We will enroll thirty (30) otherwise healthy participants, both male and female, aged 55 years and older. Changes in participants' skin condition will be assessed at visit 1 (baseline), visit 2 (4-week), and visit 3 (8-week) using questionnaires, standard digital photography, and clinical grading of the skin lesions.

Recruiting

Application of the Belle.AI Dermatological Image Reference System for Patient Diagnosis in an Active Clinical Setting

New York

The goal of this research study is to test a new, investigational tool that uses artificial intelligence (AI) to help primary care providers assess skin conditions. This tool is an AI-powered dermatology image reference app that works with a smartphone. For clarity, the AI makes no diagnoses; it provides reference images. Primary care providers then use their own medical judgement and training to make the diagnosis. The sponsor aims to compare the diagnoses made by primary care providers (such as doctors, nurse practitioners, and physician assistants) with the support of the AI tool compared to a panel of dermatologists, who are setting the gold standard. By doing so, the sponsor can determine the value of the AI tool for primary care providers and understand how it might be used alongside traditional clinical care. This AI capability complies with FDA regulatory guidelines and is not considered a medical device, similar to a Google image search, which returns similar looking images for reference purposes. For intervention, they healthcare providers use their own training and clinical judgement to make the diagnosis, and not the AI.