GleanMark

TWINTUITION Trademark

TWINTUITION is a USPTO trademark filed by Rejuvenation Technologies Inc.. Status: Pending.

Trademark Facts

MarkTWINTUITION
Serial Number99706619
StatusPending
Filing Date2026-03-17
Mark TypeWord
Nice Classes009 (Electronics & Software), 042 (Software & IT), 044 (Medical Services)
OwnerRejuvenation Technologies Inc.
Prosecution Events2
Latest EventMAFR on 2026-03-17

Goods & Services

Class 009: Computer software and downloadable mobile applications for creating, maintaining, and interacting with multi-scale digital twin models of individual human health encompassing molecular, genetic, cellular, physiological, behavioral, psychological, social, environmental, and geographic dimensions; software for simulating responses to pharmaceuticals, nutritional inputs, lifestyle changes, geographic relocation, and environmental exposures; software for aggregating and analyzing biometric, genomic, proteomic, behavioral, geospatial, and clinical data to generate predictive health models; trained artificial intelligence models for simulating multi-scale human health responses.; Class 042: Providing cloud-based platforms for generating and hosting multi-scale digital twin simulations of individual human health (SaaS); platform as a service (PaaS) for integrating data from wearable devices, health records, genomic sequencing, behavioral tracking, environmental sensors, and geospatial sources; providing AI-powered computing infrastructure, trained models, and algorithms as a service for healthcare providers, researchers, and developers; computational modeling and simulation for personalized health, pharmaceutical research, drug interaction modeling, virtual clinical trials, and population health; data analytics in predictive health modeling; API services for third-party integration with digital twin health models; AI consulting in digital health and computational biology.; Class 044: Providing personalized health information, assessments, and recommendations through multi-scale digital twin simulation encompassing molecular, physiological, behavioral, psychological, social, environmental, and geographic dimensions; health monitoring utilizing digital twin modeling to detect early indicators of disease, adverse drug reactions, behavioral health changes, and environmental health risks; consultative health services via AI-driven digital twin platforms incorporating social and environmental determinants of health; health information in preventive care, chronic disease management, pharmacogenomics, environmental health, behavioral health, and aging.

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