AI-Powered Biomedical Applications Platform

Leveraging advanced large AI models, algorithms, and bioinformatics to substantially enhance R&D efficiency—and drawing on the scientific thinking and deep expertise of world-leading scientists—we are building a professional-grade health intelligence expert. The ESTOREL AI-Powered Biomedical Applications Platform bridges two domains. One is health services, represented by an application-side professional health intelligence expert system whose depth of expertise in delivering consumer health consultations in aging far exceeds that of conventional AI chatbots and online medical consultations. The other is cutting-edge biomedical technology R&D, where the platform accelerates AI-driven drug discovery from target prediction through to candidate molecule generation—substantially improving both R&D efficiency and R&D success rates.

AI Application Framework for Assessment and Intervention

Seven Interconnected Algorithmic and System Capabilities

  • Machine Learning ModelingAssigning weights to different aging biomarkers and health endpoints to establish the foundation of individualized assessment models.
  • Multidimensional Report ScoringConverting multi-omics test results into structured, comparable report scores.
  • Biological Age EstimationGenerating integrated assessments of biological age and pace of aging based on multi-omics data and population reference data.
  • Human DatabaseAccumulating multidimensional human testing and research follow-up data—across age, sex, and other variables—to provide calibration benchmarks for our models.
  • Personalized Program GenerationGenerating combined lifestyle and nutritional recommendations based on assessment results, with periodic review and refinement.
  • Laboratory and User ManagementEnd-to-end quality and operational management across sampling, testing, reporting, and follow-up.
  • Application-Side Intelligent ServicesProviding report access, follow-up reminders, and professional consultation entry points through the application.
AI-Powered Bioinformatics Agent

AI-Powered Bioinformatics Agent

Integrating retrieval-augmented generation (RAG), knowledge graphs, specialized databases, and reproducible analytical tool workflows to translate scientific literature, multi-omics results, and individual biological metrics into traceable mechanistic explanations, actionable research protocols, and dynamic follow-up strategies. The AI agent provides analytical support only; key conclusions must be reviewed by appropriately qualified professionals.

AI-Driven Drug R&D

AI-Driven Drug R&D

Integrating macromolecular complex structure prediction, generative molecular and protein design, virtual screening, and ADMET (absorption, distribution, metabolism, excretion, and toxicity) prediction models into an iterative workflow spanning target discovery, structural modeling, molecular design, and experimental validation. This integrated approach aims to accelerate the progression of candidate molecules toward experimental validation. Computational predictions alone do not establish efficacy or safety, nor do they guarantee clinical success.

Data & Algorithm Governance

Data & Algorithm Governance

Testing and lifestyle data are collected in accordance with the principle of data minimization. Model outputs include disclosures on data sources and uncertainties. Individual assessment results are intended solely to support health management and do not constitute medical diagnoses or treatment recommendations. All algorithm updates are documented and traceable, with records maintained for compliance review.