Clinical Research Directory

Kentucky Outreach Service Kiosk (KyOSK): Reducing HIV, HCV, and Overdose Risk

This study will test the effectiveness, implementation outcomes, and cost effectiveness of a locally-tailored, health kiosk to reduce overdose, hepatitis C, and HIV risk behavior and improve linkage to care in rural Appalachia. The proposed project will take place in two counties in Appalachian Kentucky, an epicenter for the intertwined national crises of overdoses, hepatitis C, and injection-related infections.

QAIAx (AIhealth4U) - AI Public Health Central: Microcity-A (re Quantum AI Agency Aka AI City Hall Project, UPSTO App Nos. 64/074,526, 64/063,557, 63/903,181, 63/729,428

BRIEF SUMMARY A. "What is the purpose of this study?" This study will test whether the "AI City Hall Project" (QAIAx), a quantum artificial intelligence (AI) public health agency, can provide free or low-cost behavioral and mental health services inside self-contained, dome-enclosed communities called "Microcities". Researchers want to see if AI-managed public administration, AI humanoid robots, holoportation of human-figures via 'holo-suites' (e.g., AI-119 Kikkeri Holo-Suit; AI-119 Vulcan QM-Ware) and advanced AI mental-health tools can lower housing and care costs, improve mental health outcomes (e.g., particular ecosystems using AI tools among persons with one or more addiction disorders), and be financially sustainable for people on fixed incomes or public assistance. B. "What conditions does the study focus on?" The study focuses on adults with: * Autism spectrum disorders (Asperger's, autism, ADHD, ASD) * Substance use disorders (alcohol, opioids, marijuana, cocaine, MDMA/ecstasy, tobacco/nicotine) * Psychiatric conditions (personality disorders, narcissism, gender dysphoria, eating disorders) * Behavioral addictions (gambling, sex addiction) and related issues (sex offence history). C. "What does the study involve?" Eligible volunteers live in an omni AI-managed Microcity for up to 24 months. The community is housed in a geodesic dome that contains all daily necessities: housing, food, utilities, healthcare, and public services. Daily life is managed by an AI system (ISAC) and AI humanoid robots, with only occasional human oversight. Participants receive free mental-health treatment that may include AI-driven counselling, virtual-reality therapy (holo-suits), and non-invasive digital "attitude inoculation" protocols designed to reduce stress and addiction cravings. All participants also take AI-technology courses as a condition of enrolment. The study does not use any FDA-regulated drug, device, or biologic. \*\*Who can participate?\*\* You may be able to join if you: * Are an adult (18 years or older) * Have a diagnosis of one of the listed mental-health or addiction disorders * Are referred by a licensed health professional (e.g., RN, NP, PhD, MD), a non-profit organisation (e.g., 501(c)(3), university, church), or a public agency (e.g., case manager, social worker, parole/probation officer, judge) * Are willing to live in a closed, AI-managed community for up to one year and complete AI educational courses. Participants who are veterans, receive public assistance (e.g., VA disability, SSDI/SSI, Medicaid, Medicare), or are experiencing homelessness may be prioritised. \*\*Where is the study taking place?\*\* The study will be conducted at Microcity sites in the United States and internationally. The first administrative site is in Richmond, Virginia, USA. Additional sites are planned in partner nations, including tribal lands, military installations, and special economic zones. \*\*Who is sponsoring the study?\*\* The study is sponsored by \*\*Veterans Recovery Network Inc.\*\*, a non-profit organization, in collaboration with \*\*AI-119 Vulcan Project Research \& Educational Technology Co. (PRETCO)\*\* and an AI legal agency. The study is conducted under U.S. federal research and development authorities (28 U.S.C. §1498; 10 U.S.C. §129a) and is part of a Cooperative Research and Development Agreement (CRADA) with U.S. Special Operations Command (USSOCOM). This summary describes a planned clinical study. Not all details may be final. Information may change as the study progresses.

A Chatbot To Support Substance Use Recovery

The goal of this clinical trial is to learn if/how an AI chatbot can support patients who in recovery for substance use, specifically those who are receiving medication for opioid use disorder. Can the chatbot help lower drug use? Can the chatbot help improve clinical appointment adherence? Can the chatbot help patients build self-efficacy in leading their own recovery journey? Will the chatbot help reduce workload burden for primary care teams? Can the chatbot serve as a safe, useful and engaging tool to support patients? Researchers will investigate the effects of using a chatbot to support follow-up care for patients in opioid use recovery. Participants will: * Receive access to a chatbot for 12 weeks that they can use to prepare for upcoming clinical appointments, find community resources, learn about urge-surfing and wellness techniques, and query for assistance with other recovery-related information and tasks * Complete surveys and provide user feedback

Neurocognitive Mechanisms Underlying Smartphone-Assisted Prevention of Relapse in Opioid Use Disorder

The proposed clinical trial would evaluate the use of smartphone applications ("apps", which have well-established efficacy in reducing cigarette and alcohol use) to prevent relapse among patients receiving medication-assisted treatment for opioid use disorder. In addition to standard app-based self-monitoring of drug use and personalized feedback, project innovation is enhanced by the proposed use of location-tracking technology for targeted, personalized intervention when participants enter self-identified areas of high risk for relapse. Furthermore, the proposed sub-study would use longitudinal functional neuroimaging to elucidate the brain-cognition relationships underlying individual differences in treatment outcomes, offering broad significance for understanding and enhancing the efficacy of this and other app-based interventions.