AI Empowering
Cutting-Edge Fundamental Research
We are building next-generation AI research agents and data infrastructure—integrating multi-omics intelligence, high-precision predictive models, and end-to-end research platforms to help scientists break traditional experimental boundaries and accelerate the full lifecycle from hypothesis to discovery.
Multi-Omics AI Analysis
Break down omics silos by integrating genomic, transcriptomic, proteomic, and metabolomic data to reveal global life-regulation mechanisms from a systems biology perspective.
Genomics Analysis
Leverage deep learning to perform high-throughput variant detection, haplotype analysis, and regulatory region prediction on massive DNA sequences—uncovering disease mechanisms and evolutionary patterns.
AI Predictive Model Development
Based on deep learning and large-scale cohort data, providing high-precision predictive models across the full lifecycle—from disease risk assessment to developmental clocks.
Disease Prediction
Ultra-early non-invasive screening with multimodal feature fusion for accurate disease progression risk prediction.
Developmental Clock
High-precision epigenetic clocks for accurate biological age and aging rate measurement.
Biomarker Discovery
Automated high-dimensional feature screening to discover novel biomarkers with high clinical value.
Risk Assessment
Dynamic individualized multi-dimensional health risk assessment based on population cohort big data.
Research & Clinical Case Studies
Gestational Age PredictionCase
Based on non-invasive multi-omics spatiotemporal data and multimodal deep learning, achieving high-precision gestational age prediction from early to late pregnancy to support clinical decisions.
Intelligent Research Platform
One-stop digital research closed loop, seamlessly integrating cutting-edge AI computing with full-factor laboratory management to unlock lab productivity.
Pathogen NGS Analysis
Rapid pathogen gene alignment, second-level identification of high-risk mutations and resistance genes with precise traceability analysis.
Molecular Immunology Analysis
TCR/BCR immune repertoire AI analysis, precise antigen receptor interaction reconstruction, accelerating antibody and vaccine R&D.
AI Drug Discovery
High-throughput virtual screening, target binding affinity prediction, and de novo small molecule design.
Full-Factor Lab Management
One-stop governance covering research management, LIMS, sample banks, animal centers, and high-value data assets.
Platform Management Components
Next-Generation AI Lab Central Control System
Full-stack integration from wet-lab high-throughput instruments to dry-lab AI compute—enabling closed-loop automated scientific exploration.
Research Data Infrastructure
Build a secure, compliant, and efficiently connected research data foundation—breaking data silos and safely unlocking the computational value of massive academic assets.
Data Hub
One-click integration of heterogeneous research data, supporting standardized storage and retrieval of genomic, imaging, medical record, and other multimodal data.
Knowledge Graph
Build trillion-scale medical and life-science entity knowledge networks for cross-disciplinary automatic reasoning and semantic linking.
Data Security
Multi-layer encryption, federated learning, and de-identification ensuring data releases research value in a secure 'usable but invisible' environment.
Data Compliance
Strict adherence to HIPAA, GDPR, and global healthcare data standards with full-process audit logs and compliance governance.
Research data protection commitment meeting the highest international standards
AI Research Agent
Disrupting traditional research—AI assistants deeply participate in scientific exploration from massive literature analysis to automated experiment design, becoming scientists' second brain.
Literature Analysis
Intelligently distill PB-scale cutting-edge literature, cross-disciplinary knowledge linking, second-level extraction of core experimental parameters and key conclusions.
Experiment Design
Automatically construct optimal experimental paths under multiple constraints, recommending reagent ratios, temperature conditions, and step workflows.
Hypothesis Generation
Through deep neural networks, discover undiscovered molecular, pathway, or target associations to inspire novel scientific hypotheses.
Scientific Reasoning
Rigorous causal inference capability, automatically evaluating hypothesis plausibility and providing complete logical evidence chains.
AI Research Assistant: One-click scientific hypothesis and experiment design workflow
Literature Semantic Search
Input 'relationship between target A and a rare inflammation'—AI searches 1500+ papers and builds a knowledge association graph.
Causal Reasoning & Hypothesis
AI identifies potential inhibition pathways of specific small-molecule ligands on target A and generates the hypothesis that 'molecule M could be a candidate drug for this inflammation'.
Automated Experiment Design
AI automatically outputs complete protocols for in vitro cell transfection, ELISA activity assays, including gradient dilution and control group settings.
Ready to reshape your research paradigm?
Join tens of thousands of scientists worldwide—leverage top AI research assistants, multi-omics analysis, and high-precision predictive models to achieve a qualitative leap in your fundamental research.