# Trade Mark Journal No.2026/027 3 July 2026

## UK00004404844 19 June 2026 (9,35,36,42,44)

CHRONOSIGHT

International priority date claimed: 22 December 2025 (European Union Intellectual Property Office (EUIPO)) (019295579)

Class 9
  Downloadable computer software using artificial intelligence for predicting disease trajectories and multimorbidit; downloadable and recorded software for health data analysis, risk scoring, and outcome forecasting; Application programming interfaces (APIs) enabling integration of AI-powered health analytics into third-party software systems; embedded AI software modules for integration in partner healthcare or insurance platforms; downloadable synthetic datasets and anonymized health records for training, validation, and benchmarking of algorithms; electronic databases containing medical prediction models, health risk classifiers, and outcome simulators; software for generating synthetic health trajectories for research and simulation purposes.
Class 35
  Business consultancy in the field of health risk stratification, patient segmentation, and predictive analytics; statistical analysis and data modeling for insurance underwriting, health cost projections, and product development; compilation and systemization of health-related data and indicators into computer databases for business and market analysis; market forecasting and simulation services using AI for pharmaceutical pipeline planning and clinical trial optimization.
Class 36
  Actuarial services including AI-driven risk modeling, life expectancy forecasting, and disease burden assessment; consulting in the field of insurance risk profiling based on population health data and individual disease history; financial modeling using AI for premium adjustment, prevention impact analysis, and value-based health contracts.
Class 42
  Software as a Service (SaaS) featuring AI software for medical forecasting, disease simulation, and predictive health analytics; development and deployment of custom AI models trained on client datasets for specific health prediction tasks; technical consultation regarding software architecture, implementation, and integration of AI health technologies; hosting of medical analytics software and secure data environments for collaborative clinical or insurance use; generation of synthetic medical datasets for privacy-preserving analysis and software validation; feasibility studies, performance benchmarking, and algorithmic fairness assessments for health AI systems; cloud-based software solutions for simulation of population-wide health outcomes and epidemiological modeling.
Class 44
  Medical analysis services utilizing AI models for risk prediction, disease progression forecasts, and early detection support; provision of medical information and clinical decision support tools based on individualized risk trajectories; consultancy services in the fields of public health, preventive care planning, and disease burden estimation; corporate health advisory services focusing on predictive modeling and population health management; support for precision medicine initiatives through AI-powered patient stratification and prognostic scoring.

Tomas Fitzgerald

Representative: BRIFFA