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药物研发平台

AI药物研发平台

整合大分子复合物结构预测、生成式分子与蛋白设计、虚拟筛选及ADMET（吸收、分布、代谢、排泄与毒性）预测模型，形成“靶点发现—结构解析—分子设计—实验验证”的迭代闭环，加速候选分子进入实验验证阶段。计算预测结果不等于疗效、安全性或临床成功率。

数据与算法治理

数据与算法治理

检测数据与生活方式数据按最小必要原则采集；模型输出附数据来源与不确定性说明。涉及个体的评估结果仅作为健康管理参考，不构成诊断或治疗建议。算法迭代全程留痕，可追溯、可复核，并接受合规审查。