AI+ Healthcare

Pioneering Multi-omics Foundation ModelGeneLLM

Built on a Transformer architecture and pretrained on 23 billion sequencing reads and 3.45 trillion base-pair data—enabling multi-scenario applications including medical diagnosis, bio-manufacturing, and environmental monitoring.

Pretraining Data

Massive multi-omics datasets

RNA GroupDNA GroupProtein GroupMetabolite Group

Fine-tuning Data

Disease LabelsMolecular Structure LabelsGene Function LabelsEnvironmental State Labels

GeneLLM

Transformer architecture build & pretraining

Unsupervised LearningSupervised Learning

Application Scenarios

Medical Diagnosis
Bio-Manufacturing
Environmental Monitoring

Model Iteration Roadmap

Base
370M parameters
Medium
1.5B parameters
Large
6B parameters
XLarge
30B parameters

GeneLLM Applications: Multi-disease DiagnosisHigh Accuracy

An AUC improvement simultaneously increases diagnostic sensitivity and specificity.

Multi-cancer

GeneLLM0.975
Industry Average0.85-0.90

Preterm

GeneLLM0.85
Industry Average0.62

Non-alcoholic Liver Disease

GeneLLM0.99
Industry Average0.80

Alzheimer's Disease

GeneLLM0.91
Industry Average0.70-0.85

AI-driven healthcare scenariosIntelligent Upgrade

Covering end-to-end intelligent diagnosis, health management, and clinical training.

Intelligent Diagnosis & Nursing Assistance

Voice-enabled Medical Records

Supports natural-language input and dialect recognition.

Automatic Medical Record QC

Intelligently checks completeness, logic, and chronological order.

Risk Alert Intervention

Predicts risk from data and generates nursing care plans.

Intelligent Nursing Assistance

Voice-operated forms that quickly respond to vital-sign anomalies.

Patient Health Management

Personalized Health Education

Generates text, visuals, animations, and assessment scale content automatically based on the patient condition.

Health Knowledge Graph

Integrates multi-source patient data and supports intelligent search and relationship mining.

Smart Clinical Training & Education

Intelligent Exam Generation

Generates questions with configurable difficulty and question types.

Personalized Learning Recommendations

Recommends learning paths based on learning-status data.

Automated Grading & Scoring

Automatically grades subjective answers and returns score feedback.

Intelligent Medical Record Writing & QCUnified

End-to-end intelligent management—from voice input to automated QC.

01

Voice Input

Supports natural language and dialect recognition.

02

Intelligent Transcription

AI automatically transcribes into structured medical records.

03

Automated QC

Checks completeness, logic, and chronology.

04

Smart Archiving

Automatically categorizes, stores, and retrieves records.