Sep. 20, 2017 | Los Alamos National Laboratory (LANL) has awarded Genoma International a grant for the development of an artificial-intelligence-based, big data, health analysis model.
During the duration of the grant, Genoma International will work with LANL on developing the framework for a self-learning, multiple, interdependent algorithmic model, able to process relevant “hard” and “soft” genomic data sets to identify and prioritize disease prevention and treatment strategies, improve patient outcomes, lower healthcare costs, and reduce adverse drug events. The model combines discrete, health-related data with more difficult to measure data, including physical, mental, emotional, cultural and belief-based components of a person’s life. The objective algorithms represent the complex interactions of these components that are proven to contribute to the disease process.
The concept for this algorithm originates from an interconnected, holistic, clinical model, developed 25 years ago by Genoma International founders Dr. Joe Veltmann and Dr. Roberta Kline. Their model was originally introduced as the GENESIS Matrix™ which illustrates the interrelationships between an individual’s genomic architecture and their: environmental influences, diet, metabolism, emotional profile, fitness, known stressors, inflammatory response, and belief systems. This approach helps to identify and prioritize which biological systems need the most attention, facilitating successful prevention and treatment of many chronic diseases.
Genoma International’s partnership with LANL is evolving the GENESIS Matrix™ into a technically advanced, AI-enabled system for the healthcare industry, empowering clinicians to deliver personalized, DNA-directed precision medicine.