Jumptuit indicates that a patent titled "AI System and Method for Environmental Exposure and Early Health Risk Warning" (AI Systems and Methods for Environmental Exposure and Early Health Risk Alerts) has been obtained, which is applicable to health, life, and environmental sciences as well as exposure omics research.
New York, November 10th / PRNewswire / -- The company announced that the United States Patent and Trademark Office ( USPTO ) has granted Jumptuit founder and CEO Donald Leka the following AI health patent: " AI System and Method for Environmental Exposure and Early Health Risk Warning".
This invention relates to a AI personalized prediction system and method for environmental exposure and early health risk warning. The company states that AI analyzes dynamic environmental, disease, and toxin exposure variables based on recent geographic location data, thereby generating early personalized notifications, including coupled variable risk assessments. The predictions generated by AI extend health risk assessments to future local conditions that have not yet occurred at the user's location, but are derived from pattern recognition based on variable trends, sequences, and speeds, and are combined with an individual's unique health profile. The company indicates that each set of AI predicted exposure variables constitutes a dynamic, geographically specific prediction model, rather than a static threshold alert based on general historical environmental data.
For genomic research, real-time mapping of environmental exposures helps to bridge the gap between static genetic susceptibility and gene expression, revealing how dynamic physical variables interact with epigenetics and trigger disease manifestations.
This newly authorized patent, "_AI System and Method for Environmental Exposure and Early Health Risk Warning" (patent number 12793535), is an extension based on previously authorized patents, including "Event- and Location-Based AI Auxiliary Search System and Method" (patent number 12561386), "_AI Auxiliary Search System and Method" (patent number 12361080), "System and Method for Creating a New Single Data Point by Associating Multiple Data Points" (patent number 11977584), "_AI Auxiliary Search System and Method" (patent number 11971933), and "Event- and Location-Based _AI Auxiliary Search System and Method" (patent number 11803602).
Jumptuit, the founder and CEO, as well as the inventor Donald Leka, stated: "The shift from historical exposure omics analysis to continuous predictive monitoring represents a fundamental transformation in health, life, and environmental sciences. By dynamically mapping the speed and interactions of environmental, disease, and toxin variables, Jumptuit enables researchers, healthcare providers, and public health officials to move from passive mitigation to proactive, life-saving interventions, taking action before environmental threats become fully apparent. This invention also allows individuals to anticipate composite environmental risks and their impact on their unique medical, biological, and lifestyle health profiles, thereby giving them more control over their own health issues."
The Jumptuit Group
The Jumptuit Group ( TJG ) is a company engaged in artificial intelligence research and development, focusing on the emerging field of "predictive intelligence" ( Anticipatory Intelligence ).
The purpose of predictive intelligence is to observe and understand the precursor elements of phenomena and events, their movements, and the forces that act between them, based on enhanced perception and spatial intelligence, thereby facilitating scientific discoveries and research.
The company's goal is to accelerate the prediction of events that may bring risks and opportunities, and to assist policymakers and practitioners in formulating proactive strategies in order to improve the outcomes for stakeholders.
Jumptuit Contact editors: Jordan Glass, Jumptuit, 914.584.5022, [ email protected ]
