Jumptuit Secures Patent for “AI Systems and Methods for Environmental Exposure and Early Health Risk Alerts” for Health, Life, and Environmental Sciences and Exposomic Research

NEW YORK, Nov. 10, 2026 /PRNewswire/ — We are pleased to announce that the U.S. Patent and Trademark Office (USPTO) has awarded Inventor Donald Leka, Founder and CEO of Jumptuit, the following AI Health patent, “AI Systems and Methods for Environmental Exposure and Early Health Risk Alerts.”

This invention relates to a system and method of AI individualized forecasting for environmental exposure and early health risk alerts. AI analyzed dynamic environmental, disease, and toxin exposure variables derived from recent geolocation data yield early individualized notifications including coupled-variable risk assessments. AI generated forecasts expand health risk evaluation to include future localized conditions not yet occurring at a user’s location, but rather based on pattern recognition of variable trends, sequence, and velocity relative to an individual’s unique health profile. Each set of AI forecasted exposure variables constitutes a dynamic, geolocation specific predictive model rather than a static threshold alert based on generalized historical environmental data.

For genomic research, mapping environmental exposures in real time bridges the gap between static genetic predisposition and gene expression, revealing how dynamic physical variables interact with epigenetics to trigger disease manifestation.

The newly granted patent, “AI Systems and Methods for Environmental Exposure and Early Health Risk Alerts” (Patent No. 12793535), expands on the previously granted patents, System and Method of AI Assisted Search Based on Events and Location” (Patent No. 12561386), “System and Method of AI Assisted Search” (Patent No. 12361080), “System and Method of Correlating Multiple Data Points to Create a New Single Data Point” (Patent No. 11977584), “System and Method of AI Assisted Search” (Patent No. 11971933), and “System and Method of AI Assisted Search Based on Events and Location” (Patent No. 11803602). 

“The potential to transition from historical exposomic analysis to continuous predictive observation represents a fundamental shift for health, life, and environmental science,” said Inventor and Jumptuit Founder and CEO, Donald Leka. “By dynamically mapping the velocity and interaction of environmental, disease, and toxin variables, Jumptuit empowers researchers, healthcare providers, and public health officials to move from reactive mitigation to proactive, life saving intervention before environmental threats fully materialize. This invention also enables individuals to anticipate compound environmental risks and how they impact their unique medical, biological, and lifestyle health profiles, providing them with the ability to take agency in relation to their health.”

The Jumptuit Group

The Jumptuit Group (TJG) is an AI research and development company working in the emerging field of Anticipatory Intelligence.

The purpose of Anticipatory Intelligence is to observe and understand the antecedent elements of phenomena and events, their movements and the forces among them, based on heightened sensory and spatial intelligence, and to advance scientific discovery and research.

Our goal is to accelerate the anticipation of events that pose risks and opportunities and help policymakers and practitioners develop anticipatory strategies to improve stakeholder outcomes.

Jumptuit Editorial Contact:
Jordan Glass
Jumptuit
914.584.5022
jglass@jumptuit.com 

View original content to download multimedia:https://www.prnewswire.com/news-releases/jumptuit-granted-artificial-intelligence-ai-health-patent-by-the-us-patent-and-trademark-office-uspto-302934248.html

SOURCE Jumptuit