InnerAtlas- A Scalable Technology and Evaluating Customer Segments for a Novel Mental Health App with a Customizable AI-Driven Virtual Therapeutic Coach

Clemson University

Abstract: This proposal addresses the rising mental health crisis among college students, a population that has experienced a substantial increase in depression rates over the past decade. We propose a novel solution in the form of a customizable mobile mental health (MHealth) app that combines evidence-based therapeutic strategies with an AI-powered virtual therapeutic coach. Backed […]

Exploration of Potential Uses for Tailings, Byproducts, and Co-products in the Burgeoning Domestic Rare Earth Element Industry

Production of rare earth elements (REEs) in the United States is critical for national security and economic resilience, reducing reliance on foreign supply. REEs are essential for defense technologies, renewable energy, electric vehicles, and consumer electronics. Currently, China produces more than 60% of the global REE supply and controls almost 90% of the refining and […]

Preclinical Development of Odanacatib for Diabetic Wound Healing

Non-healing wounds are a serious complication of diabetes, affecting more than 6 million Americans annually. Despite their prevalence, effective treatment options remain limited, with few FDA-approved therapies offering meaningful benefits. A hallmark of diabetic wounds is excessive protease activity, which degrades structural proteins and impairs tissue regeneration. To address this unmet need, we are developing […]

Low-Cost Carbon Recovery for Economic Valorization and Development

The technology in the proposed project aims to significantly reduce the cost of carbon resource recovery from the combustion of fossil resources and, eventually, the utilizations, e.g., enhanced oil recovery (EOR) of the recovered carbon resources. Wyoming is well known for its rich hydrocarbon resources, including coal, natural gas, and oil. Especially for coal, Wyoming […]

Cold-chain free stabilization of RNA-lipid nanoparticle formulations

Our proposed project will develop new technology that will allow for the long-term storage of lipid nanoparticle-encapsulated RNA therapeutics in a dry rather than cold state. We have already demonstrated that RNA and lipid nanoparticles (LNPs), needed to deliver RNA into human cells, can be stabilized separately using our approach. Here, we will test our […]

Final Steps Towards a Commercial Photoacoustic Absorption Spectrometer

There is a societal need for improved measurements of absorbing aerosol (small particles) in the atmosphere. Absorbing aerosol impact human health, visibility, and weather. They are measured at thousands of sites in the U.S. and globally, but these measurements are typically made with filter-based instruments that tend to be slow, labor intensive, and can have […]

Development of a Sensitive Lateral Flow Immunoassay Device for Analyzing Nasal Swab Samples Collected on a Dissolvable Surface

Influenza (flu) infections are commonly diagnosed using Rapid Influenza Diagnostic Tests or RIDTs that are inexpensive, do not require specialized equipment, and can provide results within 15 minutes. RIDTs, however, often produce false negative results requiring that their outcomes be validated with advanced tests which largely compromises their time and cost benefits. In this project, […]

Skin-Like Cardiac Patch for Personalized and Preventive Heart Care

Heart disease remains the leading cause of death worldwide, driving urgent demand for advanced, reliable, and patient-centric cardiac monitoring solutions that enable early detection, continuous care, and data-driven clinical decisions. Existing ambulatory devices, which rely primarily on electrocardiogram (ECG) monitoring, are limited by patient discomfort, rigid connections, poor breathability, short battery life, and inadequate long-term […]

NoirVPAI: The World’s First Private and Secure AI Router

ChatGPT users send 2.5 billion requests daily, with over 750 million active users weekly. This massive number indicates a significant boost in productivity across industry sectors in the use of large language models (LLMs), covering every possible use case, from individual users to enterprises, organizations, and governments. The significant concerns and substantial risks associated with […]