Build a comprehensive knowledge graph titled "The AI-Powered Healthcare Ecosystem" that includes relationships among:
AI technologies
Healthcare applications
Companies
Diseases
Researchers
Drugs
Regulatory bodies
Hospitals
Clinical trials
Medical devices
Link them using roles like treats, developed_by, tested_in, approved_by, uses, diagnoses, research_by, partnered_with, etc. Ensure every node is part of the same connected graph.
✅ Example Entities and Relations (≥ 24 nodes, 30+ edges):
🧠 AI Technologies (5 nodes)
Deep Learning
NLP
Computer Vision
Federated Learning
Reinforcement Learning
Healthcare Applications (4 nodes)
AI-assisted Diagnosis
Drug Discovery
Remote Patient Monitoring
Medical Imaging Analysis
Companies (5 nodes)
IBM Watson Health
DeepMind
Moderna
Siemens Healthineers
NVIDIA
Diseases (4 nodes)
Lung Cancer
COVID-19
Alzheimer's Disease
Diabetes
Drugs (3 nodes)
Remdesivir
Aducanumab
Insulin
Researchers (2 nodes)
Fei-Fei Li
Demis Hassabis
Clinical Trials & Regulators (3 nodes)
Clinical Trial #AZ112
FDA
WHO
Hospitals (2 nodes)
Mayo Clinic
Stanford Hospital