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US 2026/0279536 A1Published application
Precision disease prevention and longevity engine tailored to individual genetic and environmental profiles
AssigneeVydiant, Inc.
InventorsJim Kaput, Ray Scheid, Edith Coronado, Parismita Bharali, Albin Kurian, Dennis Minn, Terry Carlone
Life of this patent
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Abstract
An integrated personal health system, method and device for development of a precision disease prevention and longevity engine for the continuous, individualized optimization of human healthspan and extension of lifespan through real-time multiomic data acquisition, dynamic biological modeling, and adaptive lifestyle and other intervention generation tailored to individual genetic profiles is described herein.
Claims29
A system comprising:
- a plurality of data acquisition components configured to acquire genomic sequencing or assays of selected variants data, continuous multiomic measurements, and real-time physiological measurements;
- a causal biological knowledge graph configured for encoding mechanistic relationships between genetic variants, molecular pathways, environmental inputs, interventions, and health outcomes;
- a personalized digital persona model configured to represent a dynamic simulation of a person's specific physiology initialized from a genomic and multiomic baseline and continuously calibrated against adaptive lifestyle, observed biometric responses, medications and health records;
- and
- an embedded reinforcement learning optimization engine configured to identify intervention combinations that maximally advance the individual's healthspan and disease prevention objectives, explicitly modeling biological pathway interactions and individual response heterogeneity derived from genetic variant profiles.
2 more elements
A method programmed in a non-transitory memory of a device, the method comprising:
- acquiring genomic sequencing or assays of selected variants data, continuous multiomic measurements, and real-time physiological measurements with a plurality of data acquisition components;
- encoding mechanistic relationships between genetic variants, molecular pathways, environmental inputs, interventions, and health outcomes with a causal biological knowledge graph;
- representing a dynamic simulation of a person's specific physiology initialized from a genomic and multiomic baseline and continuously calibrated against adaptive lifestyle, observed biometric responses, medications and health records with a personalized digital persona model;
- and
- identifying intervention combinations that maximally advance the individual's healthspan and disease prevention objectives, explicitly modeling biological pathway interactions and individual response heterogeneity derived from genetic variant profiles with an embedded reinforcement learning optimization engine.
2 more elements
A device comprising:
- a non-transitory memory configured for storing an application, the application configured for:
- receiving genomic sequencing or assays of selected variants data, continuous multiomic measurements, and real-time physiological measurements from a plurality of data acquisition components;
- encoding mechanistic relationships between genetic variants, molecular pathways, environmental inputs, interventions, and health outcomes with a causal biological knowledge graph;
- representing a dynamic simulation of a person's specific physiology initialized from a genomic and multiomic baseline and continuously calibrated against adaptive lifestyle, observed biometric responses, medications and health records with a personalized digital persona model;
- and
- identifying intervention combinations that maximally advance the individual's healthspan and disease prevention objectives, explicitly modeling biological pathway interactions and individual response heterogeneity derived from genetic variant profiles with an embedded reinforcement learning optimization engine;
- and
- a processor configured for processing the application.
5 more elements
A system comprising:
- a wearable biosensor network configured for continuous physiological data acquisition, integration and analysis of medical and family history and electronic health records;
- a secure personal biological data vault;
- an edge-computing inference module configured for real-time intervention feedback;
- and
- a cloud-based deep phenotyping, simulation and modeling platform.
2 more elements
A method programmed in a non-transitory memory of a device, the method comprising:
- selecting condition-associated genes;
- retrieving promoter regions;
- identifying Transcription Factor (TF) binding sites in the promotor regions;
- identifying ligands that bind to TFs;
- linking TF ligands to nutritional components;
- linking the TF ligands to physical activity;
- linking the TF ligands to emotional stress;
- building a TF-ligand-lifestyle database;
- developing an AI Model for novel TF-lifestyle predictions;
- performing clinical validation using biomarkers and wearables;
- and
- implementing AI explainability for TF-lifestyle predictions.
9 more elements
Dependencies are inferred from the claim text.