Dr. Twin AI is the world’s first DNA-based digital twin medical solution that addresses delayed and inaccurate diagnoses by integrating genomic data with an AI-powered decision-making platform, providing healthcare providers and patients with rapid and precise insights. Conventional clinical decision support systems lack real-time data access and accuracy, causing bottlenecks such as the United States’ average 31-day wait to schedule a doctor’s appointment and emergency room delays. In contrast, Dr. Twin AI employs Retrieval-Augmented Generation (RAG) models, digital twin technology, and Google Multi-Agentic AI trained on 347,000 medical records and expert publications to reach 98.6% accuracy and significantly reduce patient waiting times. This breakthrough platform enhances accessibility, improves clinical outcomes, and delivers measurable impact by enabling healthcare systems to serve more patients efficiently and sustainably integrate precision medicine into telehealth, AI triage, and insurance ecosystems.