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The make DEEP Human Project: a research consortium of the University of Illinois at Chicago, Jane Addams School of Social Work, Midwest Latino Health Research, Training, and Policy Center, along with Community Organizations, Mental Health Providers, and Public Health Workers. This new Health Research Consortium is to decrease the disparities of Obesity and Type 2 Diabetes in Medically Underserved Communities.
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make DEEP Human Families Healthy Experiences Portal
Helping the Crippled 2 God
Make DEEP Humans a Divided Line
The Temple of TRANCE Health Portal
- Da Diabetes Dungeon Chat Text Game featured on POE
- Dexcom
- Diet Morbidity Versus Education
- Fibit Google Fit
- GUPSY Project at Notion
- Make DEEP Human Chat at Dialogflow
- My Plate USDA
- National Eating Disorder Help
- Northwestern Medicine Wellness Way
- Oak Street Health Hermosa
- Planet Fitness Avondale
- Shire Health Quest Game Hub
- SilverSneakers Fitness Program
- Temple of TRANCE at Biosite
- Temple of TRANCE Health Transformation Coach
- UIC Midwest Latino Health Research, Training, and Policy Center
- Withering Whispers of Krebsville: Epidemic Season 1
Emergent APHID Helpful Resources
New diabetes clinical trial: Early Nutritional Intervention in Patients Undergoing Liver Transplantation
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New diabetes clinical trial: Improving Kidney Care in Type 2 Diabetes: A Study of Pharmacist Prescribing Versus Usual Care
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New diabetes clinical trial: Effectiveness of CBD for Neuropathic Pain in Diabetic Foot Neuropathy
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New diabetes clinical trial: Salivary Cortisol and Hypercortisolism in Type 2 Diabetes
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New diabetes clinical trial: Role of Finerenone in African American Veterans With Diabetic Kidney Disease
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New diabetes clinical trial: Home-based Oral Glucose Tolerance Test for Type 1 Diabetes Screening
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New diabetes clinical trial: Implementing WHO HEARTS-D Guidelines in Bangladesh for Diabetes Control and Prevention
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New diabetes clinical trial: Eating Disturbances in Patients With Type 1 Diabetes Initiating Insulin Therapy
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New diabetes clinical trial: Pivotal Trial of Automated Artificial Intelligence (AI) Based System for Early Diagnosis of Diabetic Retinopathy
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