Executive Overview
In an era where digital innovation is rapidly reshaping the landscape of healthcare delivery, the Florida State University (FSU) College of Nursing has secured a prestigious $1.96 million grant from the National Institutes of Health (NIH). Awarded through the highly competitive NIH Director’s New Innovator Award program—and specifically funded by the National Institute on Drug Abuse (NIDA)—the multi-million-dollar funding will spearhead the development, implementation, and rigorous testing of an advanced artificial intelligence-powered behavioral health intervention.
Titled Glow, the groundbreaking project is spearheaded by Dr. Liying Wang, an assistant professor at the FSU College of Nursing and a core researcher within the university’s Institute on Digital Health and Innovation (IDHI) and the Center of Population Sciences for Health Empowerment (CPSHE). The initiative is designed to harness the power of generative artificial intelligence to deliver personalized, real-time dialectical behavior therapy (DBT) skills coaching directly to individuals struggling with problematic substance use and those at heightened risk for contracting HIV.
By blending the empathetic, patient-centered foundation of nursing science with cutting-edge conversational AI, Glow aims to bridge a critical gap in modern healthcare: the delivery of immediate, evidence-based psychological support outside of traditional clinical settings. As substance use disorders and HIV vulnerabilities continue to present profound public health challenges across the United States, this project represents a visionary leap forward, demonstrating how next-generation technology can be safely and effectively deployed to extend the reach of care, reduce health disparities, and save lives when individuals are most vulnerable.
Detailed Chronology: The Evolution of Digital Health at FSU
The journey leading to this landmark $1.96 million NIH award is rooted in years of strategic institutional growth, interdisciplinary collaboration, and pioneering research at Florida State University. Understanding the trajectory of this breakthrough requires examining the precise steps that positioned FSU at the bleeding edge of digital health innovation.
Laying the Interdisciplinary Foundation
For years, the intersection of behavioral health and technology has been a focal point for visionary researchers seeking to overcome traditional barriers to healthcare access—such as geographic isolation, social stigma, and severe shortages of mental health professionals. Within the FSU College of Nursing, leaders recognized early on that nursing science could not remain bound strictly to bedside care. Instead, it needed to evolve alongside the digital transformation of society.
This forward-thinking mindset led to the establishment of key institutional powerhouses, including the Institute on Digital Health and Innovation (IDHI) and the Center of Population Sciences for Health Empowerment (CPSHE). These entities were designed specifically to foster cross-disciplinary synergies, bringing together experts in nursing, public health, data science, behavioral psychology, and clinical medicine.
Dr. Liying Wang’s Research Trajectory
Dr. Liying Wang emerged as a pivotal figure within this ecosystem. Her research trajectory has consistently focused on the complex, overlapping vulnerabilities of substance use and HIV transmission. Dr. Wang recognized that traditional, static behavioral interventions often fail because they are delivered inside a clinical office hours or days after a patient experiences a high-stress trigger or craving.
Realizing that behavioral support must be dynamic and continuous, Dr. Wang began exploring how emerging computational tools could be leveraged to provide continuous support. Her early investigations laid the groundwork for what would eventually become the Glow intervention: a system capable of understanding nuanced human emotion, recognizing behavioral patterns, and dispensing clinically validated coping strategies precisely at the moment of need.
The Grant Application and Review Process
Securing an NIH Director’s New Innovator Award is no small feat. Established as part of the NIH Common Fund, the award is designed to support exceptionally creative early-career investigators who propose bold, highly innovative projects with the potential to transform entire fields of science.
When Dr. Wang and her colleagues submitted their proposal for Glow, it underwent rigorous peer review by panels of national and international experts. The review process scrutinized not only the technical feasibility of utilizing generative AI in sensitive health applications but also the ethical safeguards, privacy protocols, and clinical efficacy frameworks built into the program.
Upon scoring exceptionally high, the National Institute on Drug Abuse formally endorsed the project, resulting in the $1.96 million allocation. This announcement marks a critical milestone, transitioning Glow from a theoretical framework into an active, funded clinical research program poised to shape the future of addiction medicine and digital therapeutics.
Supporting Context & Metrics: The Intersection of AI, Substance Use, and Public Health
To fully grasp the significance of the FSU College of Nursing’s new initiative, it is essential to examine the broader epidemiological landscape of substance use disorders, HIV vulnerability, and the transformative potential of digital health interventions.
The Twin Epidemics: Substance Use and HIV Vulnerability
Public health data consistently demonstrates a profound, complex overlap between problematic substance use and the transmission of HIV. Individuals struggling with substance use disorders often face compounded challenges, including socioeconomic instability, impaired decision-making capacities under the influence, and systemic barriers to accessing preventative healthcare like pre-exposure prophylaxis (PrEP) or routine testing.
- The Treatment Gap: According to federal health agencies, millions of Americans meet the criteria for substance use disorders, yet only a fraction receive specialized behavioral health treatment. Long waitlists, clinician shortages, and the persistent social stigma associated with addiction create massive hurdles to sustained recovery.
- The Role of Stress and Triggers: Relapse and high-risk behaviors are rarely planned; they are typically acute responses to sudden psychological distress, environmental triggers, or intense cravings. Traditional outpatient therapy, while valuable, cannot provide real-time intervention when a patient is sitting at home or navigating a challenging social environment late at night.
Just-in-Time Adaptive Interventions (JITAIs)
Enter the concept of Just-in-Time Adaptive Interventions (JITAIs). In modern behavioral science, JITAIs represent a revolutionary paradigm shift. Unlike standard treatment models that deliver interventions at fixed, scheduled intervals, JITAIs are engineered to dynamically adapt to an individual’s changing internal state and external context in real time.
By integrating generative artificial intelligence into a JITAI framework, the Glow project takes this concept a step further. Generative AI models possess the unprecedented capacity to process natural language, maintain conversational continuity, and generate highly personalized, empathetic responses. Rather than presenting a generic coping mechanism from a static database, an AI-powered coach can engage in a nuanced dialogue with a user, assessing their emotional state, validating their struggles, and guiding them through evidence-based dialectical behavior therapy (DBT) exercises tailored specifically to their current situation.
Dialectical Behavior Therapy (DBT) in a Digital Format
Dialectical behavior therapy is an evidence-based cognitive-behavioral approach originally developed to treat complex emotional dysregulation and self-destructive behaviors. Its core components include:
- Mindfulness: Staying fully aware and present in the current moment.
- Distress Tolerance: Managing and surviving crisis situations without resorting to harmful behaviors like substance use.
- Emotion Regulation: Identifying, understanding, and modifying intense emotional reactions.
- Interpersonal Effectiveness: Navigating conflicts and maintaining self-respect in social relationships.
Historically, teaching and practicing DBT required extensive one-on-one sessions with a trained psychotherapist. The Glow project seeks to democratize these powerful psychological tools, translating complex clinical strategies into digestible, interactive digital modules delivered safely through a smartphone or connected device.
Official Statements and Institutional Vision
The awarding of the NIH grant has generated widespread acclaim across Florida State University, underscoring the institution’s growing reputation as a national leader in digital health research. Leadership within the College of Nursing and the Institute on Digital Health and Innovation have emphasized that this project embodies the exact type of forward-looking scholarship required in the modern medical era.
Dr. Liying Wang on the Vision Behind Glow
Reflecting on the overarching goals of the NIH-funded project, principal investigator Dr. Liying Wang emphasized the critical marriage between nursing philosophy and advanced computation:
"By combining the patient-centered perspective of nursing with evidence-based behavioral interventions and emerging AI technologies, this work has the potential to make personalized support timelier and more responsive to individual needs. Ultimately, we hope to explore how these technologies can safely extend the reach of care and improve patient outcomes."
Dr. Wang’s perspective highlights a foundational tenet of modern nursing research: technology should never replace human empathy, but rather serve as a force multiplier that extends the compassionate reach of healthcare providers into the everyday lives of patients who might otherwise fall through the cracks.
Dr. Lisa Hightow-Weidman on Nursing Leadership in Technology
Echoing these sentiments, Dr. Lisa Hightow-Weidman, associate dean for research for the FSU College of Nursing and co-director of the Institute on Digital Health and Innovation, underscored the necessity of positioning nurses at the vanguard of technological innovation:
"Artificial intelligence is helping us pave the way for how we understand and deliver healthcare, and nurses must be at the forefront of shaping how these technologies are used. Dr. Wang’s work exemplifies the kind of interdisciplinary, high-impact research that can move digital health innovation forward while keeping patients and their care at the center."
Dr. Hightow-Weidman’s remarks reflect a broader cultural shift within the nursing profession. As AI tools—ranging from predictive analytics to generative conversational agents—permeate every sector of healthcare, nurse scientists are taking an active role in designing, auditing, and optimizing these tools to ensure they adhere to the highest standards of safety, equity, and clinical validity.
Future Outlook: Transforming Nursing Science and Patient Care
As work on the Glow project officially commences under the backing of the $1.96 million NIH grant, the long-term implications extend far beyond the immediate confines of the laboratory. The project is poised to establish a new blueprint for how academic institutions can collaborate with federal agencies to tackle entrenched public health crises using emerging technologies.
Establishing Rigorous Safety and Ethical Frameworks
One of the primary challenges and responsibilities facing Dr. Wang and her research team will be the establishment of ironclad safety, privacy, and ethical protocols. Generational AI models, while remarkably powerful, require careful guardrails—especially when dealing with vulnerable populations experiencing substance use disorders or mental health crises.
The research team will dedicate significant portions of the project timeline to rigorous testing, clinical oversight, and validation studies to ensure that the Glow program delivers accurate, safe, and supportive guidance without unintended psychological or behavioral risks. By prioritizing user privacy and establishing clear escalation pathways for individuals requiring emergency human intervention, the project aims to set a gold standard for responsible AI deployment in behavioral medicine.
Shaping the Future of Nursing Education and Practice
Beyond its direct clinical applications, the success of the Glow project reinforces the FSU College of Nursing’s strategic vision for education and practice. As digital health tools become ubiquitous, future generations of nurses must be trained not only in traditional clinical competencies but also in digital literacy, health informatics, and the critical evaluation of AI-driven tools.
Through initiatives like IDHI and CPSHE, FSU is actively embedding these competencies into its academic culture, preparing nursing students and researchers to lead the charge in a rapidly evolving, technology-driven healthcare landscape.
A Roadmap for Scalable Public Health Solutions
If clinical trials for the Glow project yield the positive outcomes anticipated by its researchers, the implications for national public health are profound. A validated, AI-powered JITAI capable of delivering personalized DBT skills coaching could be scaled and deployed across diverse populations nationwide, offering a cost-effective, accessible complement to traditional addiction treatment and HIV prevention programs.
By bridging the gap between cutting-edge computer science and compassionate nursing care, Florida State University is demonstrating how academic research can directly translate into tangible, life-changing solutions for individuals battling some of society’s most persistent health challenges.
To learn more about this groundbreaking initiative, ongoing clinical studies, and the broader portfolio of pioneering research at the Florida State University College of Nursing and the Institute on Digital Health & Innovation, please visit nursing.fsu.edu.
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