The fall detection system runs on built-in instability metrics that assess the fall precursors and assist users in correcting posture and regaining balance. Using a stream of data from multiple cameras, our algorithm calculates, in real-time, several posture metrics for identifying potential falls. It then provides individualized posture correction feedback using both audio and a wearable haptic device or can trigger wearable robotics for fall protection.

We offer a novel topical treatment for ocular degeneration that restores neuronal function and vision with a simple eye drop.

UArizona researchers have created an AI powered data-driven tool to forecast a personalized due date window for expectant mothers utilizing data from commonly worn personal devices like smart rings at various periods in gestation.

Innovations in healthcare are reshaping how we diagnose gynecologic conditions like endometrial cancer, endometriosis and adenomyosis. Our groundbreaking approach focuses on non-invasive sampling coupled with advanced biomarker analysis for early detection, especially among underserved populations. By leveraging integrated technologies, we aim to revolutionize women’s health, offering timely diagnoses, improving outcomes, and ultimately saving lives. Join us in our mission to make early detection of gynecologic conditions accessible to all women, regardless of their background or resources.

Many cancer drugs suffer from severe adverse effects due to acute high exposure and inadequate distribution to tumors. This technology provides a vehicle for the preferred delivery of existing and approved drugs to tumor environments and local release of the active agent, thereby focusing exposure to tissues in need and reducing unwanted side effects.

The SeVA platform is a composite AI device that can be effectively deployed in hospital, nursing homes and home settings. It has the capability to track a patient’s mental and physical state and signal early signs of risks such as delirium, falls or impending illness. It provides emotional support to the patient and their family by indulging in a natural conversation and facilitating their needs. When fully deployed, the product can serve as a platform which allays worry for people and their caregivers and will reduce healthcare costs by identifying the early signs of severe illness.

Aquaculture is the fastest growing food production sector in the world yet suffers 10% annual losses due to diseases (that’s ~$25 billion lost). Tools for control of these diseases are insufficient or too expensive. Efficacious and inexpensive solutions to address aquaculture disease are an industry priority. Our viral vector platform can be a solution – flexible and customizable to address finfish and crustacean diseases. It can be delivered orally to lower cost and make it more universally applicable to the industry.

Stratofly Research seeks to deploy autonomous constellations of our patent-pending altitude-controlled high-altitude balloons (HABs) to collect higher fidelity in-situ atmospheric weather data in data-sparse areas such as over oceans, to improve weather forecasting.

Two of the HABs we manufacture do not require a lighter-than-air, reducing cost and complexity. Altitude-controlled HABs can autonomously adjust altitude to “ride” opposing winds at different altitudes for station-keeping over regions of interest and performing trajectory maneuvers.

With a 10x cost savings compared with current larger altitude-controlled HABs, these small low-cost HABs allow customers to deploy constellations of smaller payloads in the stratosphere, rather than one primary payload.