There are currently 365 clinical trials in Stanford, California looking for participants to engage in research studies. Trials are conducted at various facilities, including Stanford University, Stanford University School of Medicine, Stanford University Medical Center and Stanford Cancer Center. Whether you're a healthy volunteer looking to participate in paid medical research or seeking trials related to a specific condition, the city provides a diverse range of opportunities near you.
Passive VS Active VR on HPT Using the Thermal Sensory Analyzer With a Peltier-Based Contact Thermode
NCT05836649
Recruiting
This is a prospective, crossover study of healthy participants evaluating the impact of passive vs. active virtual reality (VR) games on heat pain threshold (HPT).
Gender:
ALL
Ages:
Between 18 years and 99 years
Trial Updated:
12/05/2024
Locations: Lucile Parkard Children's Hospital, Stanford, California
Conditions: Pain, Anxiety
Register for Updates
Longitudinal Multi-Omic Profiles to Reveal Mechanisms of Obesity-Mediated Insulin Resistance
NCT05165706
Recruiting
This 12-week controlled diet and weight intervention study seeks to define the molecular pathways that link excess body weight to the development of insulin resistance (IR). Blood, adipose and stool are sampled at three timepoints; baseline, peak weight (4 weeks) and post weight loss to monitor changes in cellular processes. Additionally, direct insulin sensitivity testing, and radiological measurement of visceral fat and intrahepatic fat content is measured at three timepoints to correlate clin... Read More
Gender:
ALL
Ages:
Between 35 years and 65 years
Trial Updated:
12/02/2024
Locations: Stanford University, Stanford, California
Conditions: Diabetes Mellitus, Type 2, PreDiabetes, Insulin Resistance, Obesity, Nonalcoholic Steatohepatitis, Nonalcoholic Fatty Liver, Diet Modification
Register for Updates
Role of Nutrient Transit in Hyperinsulinemic Hypoglycemia
NCT04615546
Recruiting
Severe hypoglycemia (low blood sugar)after gastric bypass surgery is an increasingly recognized condition, characterized by symptoms of hypoglycemia after eating and inappropriately elevated insulin concentrations that occur at the time of hypoglycemia. Severe hypoglycemia can be dangerous and debilitating and can also impact cognitive function. At the moment no medical therapies have been developed for this disorder. Determining why some but not other patients develop this condition would allow... Read More
Gender:
ALL
Ages:
18 years and above
Trial Updated:
12/02/2024
Locations: Stanford University School of Medicine, Stanford, California
Conditions: Post-Bariatric Hypoglycemia
Register for Updates
Feasibility of the BrainGate2 Neural Interface System in Persons With Tetraplegia
NCT05724173
Recruiting
The purpose of this study is to obtain preliminary device safety information and demonstrate proof of principle (feasibility) of the ability of people with tetraplegia to control a computer cursor and other assistive devices with their thoughts.
Gender:
ALL
Ages:
Between 18 years and 80 years
Trial Updated:
11/27/2024
Locations: Stanford University School of Medicine, Stanford, California
Conditions: Anarthria, Dysarthria, Tetraplegia, Spinal Cord Injuries, Amyotrophic Lateral Sclerosis, Brain Stem Infarctions, Locked in Syndrome, Muscular Dystrophies
Register for Updates
Characteristics of Patients With Recessive Dystrophic Epidermolysis Bullosa
NCT01019148
Recruiting
Recessive dystrophic epidermolysis bullosa (RDEB) is a disease caused by genetic mutations in the gene for type VII collagen. Patients with RDEB develop large, severely painful blisters and open wounds from minor trauma to their skin. We are screening subjects with RDEB to evaluate characteristics of the subjects and their cells in order to develop new strategies of therapy and determine whether subjects could be candidates for treatment studies.
Gender:
ALL
Ages:
All
Trial Updated:
11/27/2024
Locations: Stanford University School of Medicine, Stanford, California
Conditions: Epidermolysis Bullosa Dystrophica
Register for Updates
The GAstric Precancerous Conditions Study
NCT04191551
Recruiting
Gastric cancer afflicts 27,000 Americans annually and carries a dismal prognosis. One reason for poor outcomes is late diagnosis, as the majority of gastric cancers in the United States are diagnosed at a relatively advanced stage where curative resection is unlikely. Gastric precursors (such as atrophic gastritis and intestinal metaplasia) are precancerous changes to the stomach mucosa which increases risk for subsequent gastric cancer. The Gastric Precancerous Conditions Study (GAPS) is an ob... Read More
Gender:
ALL
Ages:
Between 35 years and 84 years
Trial Updated:
11/27/2024
Locations: Stanford University, Stanford, California
Conditions: Gastric Cancer, Intestinal Metaplasia of Gastric Mucosa, Helicobacter Pylori Infection, Atrophic Gastritis
Register for Updates
AN/BN Risk Factors Study
NCT05133037
Recruiting
Across the United States, thousands of children and adolescents suffer from eating disorders. Among young women alone, an estimated 2 to 4 percent are dealing with anorexia nervosa. Anorexia nervosa also has the highest mortality rate of any psychiatric disorder and produces a six-fold increased risk for death. Unfortunately, study shows that current treatments are only successful with 25 percent of patients and no eating disorder prevention program has been found to reduce future onset of anore... Read More
Gender:
FEMALE
Ages:
Between 12 years and 16 years
Trial Updated:
11/26/2024
Locations: Stanford University, Stanford, California
Conditions: Eating Disorders
Register for Updates
Effect of Meal Composition and Timing Modification on Glucose Metabolism, Body Temperature and Sleep
NCT05413928
Recruiting
The purpose of our study is to understand the impact of different meal timing alterations on blood sugars, metabolism, microbiome and sleep physiology in people with prediabetes and diabetes; and to study the temperature/heart rate response to different meals in different people.
Gender:
ALL
Ages:
18 years and above
Trial Updated:
11/26/2024
Locations: Stanford University, Stanford, California
Conditions: PreDiabetes, Type 2 Diabetes, Healthy
Register for Updates
Efficacy of Nitrous Oxide in OCD: Pilot Study
NCT03826693
Recruiting
This study investigates whether the commonly used and well-tolerated inhaled anesthetic nitrous oxide can rapidly improve symptoms of OCD.
Gender:
ALL
Ages:
Between 18 years and 65 years
Trial Updated:
11/26/2024
Locations: Stanford University, Stanford, California
Conditions: Obsessive-Compulsive Disorder
Register for Updates
Continuous Infusions Vs Scheduled Bolus Infusions
NCT03230565
Recruiting
To compare continuous infusions to bolus infusions and there affect on post-surgical pain.
Gender:
ALL
Ages:
18 years and above
Trial Updated:
11/26/2024
Locations: Stanford University, Stanford, California
Conditions: Surgical Procedure, Unspecified, Pain, Postoperative
Register for Updates
The Dynamics of Human Atrial Fibrillation
NCT05366361
Recruiting
Atrial fibrillation (AF) is an enormous public health problem in the United States, affecting 2-5 million Americans and causing rapid heart beats, stroke, heart failure or death. In this project, the applicant will develop a novel framework to better understand human AF that builds on agreement between several concepts for the disease. The applicant will develop strategies to identify AF patients who will best respond to each of several therapies, to guide personalized therapy.
Gender:
ALL
Ages:
Between 22 years and 80 years
Trial Updated:
11/26/2024
Locations: Stanford University, Stanford, California
Conditions: Atrial Fibrillation, Arrhythmias, Cardiac
Register for Updates
Machine Learning in Atrial Fibrillation
NCT05371405
Recruiting
Atrial fibrillation is a serious public health issue that affects over 5 million Americans (Miyazaka, Circulation 2006) in whom it may cause skipped beats, dizziness, stroke and even death. Therapy for AF is currently suboptimal, in part because AF represents several disease states of which few have been delineated or used to successfully guide management. This study seeks to clarify this delineation of AF types using machine learning (ML).
Gender:
ALL
Ages:
Between 22 years and 80 years
Trial Updated:
11/26/2024
Locations: Stanford University, Stanford, California
Conditions: Atrial Fibrillation, Arrhythmias, Cardiac
Register for Updates