| tags: | |
| - medical LLM，R&D，Life science | |
| # CrossNow AI | |
| > LLMs for medical | |
| We built upon a life‑science knowledge framework, integrates hospital data (e.g., de‑identified medical records, clinical guidelines), pharmaceutical information (e.g., drug development, clinical trials, package inserts), and regulatory compliance data. Its core lies in constructing a “compliance‑aware brain” that combines a medical knowledge graph (millions of entities) with retrieval‑augmented generation (RAG) and fine‑tuning techniques. | |
| Key features: | |
| Data foundation: High‑quality, curated, and anonymised data from clinical practice and drug development, annotated by medical experts to avoid “hallucinations” and low‑quality web data. | |
| Compliance pillars: | |
| Data compliance – rigorous de‑identification and standardisation. | |
| Algorithmic compliance – guardrails, real‑time risk interception, and pharmacovigilance monitoring. | |
| Operational compliance – AI supports decision‑making, but final clinical actions (e.g., prescriptions) remain with human professionals. | |
| Four operational modules: | |
| Data perception – multimodal processing (text, images, molecular structures). | |
| Knowledge enhancement – secure, auditable integration of R&D assets. | |
| Logical reasoning – AI agents bridging healthcare, insurance, and pharmacy workflows. | |
| Intelligent interaction – natural language Q&A with traceable citations. | |
| Application scenarios: | |
| Healthcare – assisted diagnosis, personalised treatment, medication safety. | |
| Pharma R&D – target discovery, clinical trial optimisation, adverse event monitoring. | |
| Medical insurance – automated fraud detection and cost control. | |
| Regulation – compliance reporting, intelligent audits. | |
| In essence, the model acts as an intelligent hub across the full life‑science chain – diagnosis, medication, R&D, payment, and regulation – driving efficiency and precision medicine while upholding strict safety and compliance standards. | |
| ## Links | |
| - 🌐 [Website](https://www.crossnow.cn) | |
| - 📧 [Contact](mailto:routine@crossnow.cn) | |
| ## Focus areas | |
| `medical LLM，R&D，Life science` | |