New Way Now: How Google AI put Medable on track to cut drug development time from 12 years to one

*Featured in this video:* Dr. Michelle Longmire, CEO and Co-founder, Medable *Executive summary:* Drug development typically takes 12 years with humans completing complex scientific milestones manually, which means clinical trials often struggle with slow patient enrollment and site startup that takes months or years. Medable provides technology that accelerates clinical development by removing critical bottlenecks across over 1 million patients in 120+ languages and 60 countries. Using Google Cloud infrastructure, Vertex AI Agent Builder, Gemini, BigQuery, and Security Command Center, Medable has compressed timelines with agentic AI while achieving 90% patient adherence. Medable’s “1:1:1” vision aims to compress drug development to one year with one-day patient enrollment and one- day site startup. *Challenge:* The development of a single medicine is approximately a 12-year process involving complex scientific milestones in human testing and clinical trials. This is mostly completed by unassisted humans, creating significant burnout and delays. Medable saw an opportunity to alleviate these pressures by automating key moments in the clinical trial process with agentic AI. However, while pharmaceutical companies are deep technical experts in clinical development, they are not computer scientists, so they need no-code solutions to deploy agentic AI effectively. Additionally, translating scientific protocols into language that resonates with patients across 120+ languages and 60 countries while maintaining high adherence rates presents a challenge for global clinical trials. *Solution:* Medable runs on Google Cloud, and with Gemini and Vertex AI offers no-code agentic AI solutions that pharma companies can deploy quickly and with confidence. BigQuery provides real-time analytics, operating globally 24/7 to store operational data across studies, while Google Cloud Security Command Center ensures top-priority security for patients, doctors, clinics, and pharmaceutical