Recursion: Decoding Biology with AI for Faster Medicine Development

The Challenge of Modern Medicine

• 💔 Many have lost loved ones to diseases lacking effective treatments, with 1 in 5 people developing cancer and a high mortality rate.
• 📉 A staggering 90% of drugs entering clinical trials ultimately fail due to a poor understanding of complex biological interactions.
• 🔬 Current biological understanding is limited, with experts estimating only 10-15% of biology is understood, contributing to high failure rates in drug development.

Recursion's Approach to Decoding Biology

• 💡 Recursion aims to decode the 'language of biology' by leveraging technology and data at scale to develop better medicines faster and at lower costs.
• 🗺️ The company uses an analogy to Google Maps, seeking the fastest route from a disease state (point A) to a healthy state (point B) within biological systems.
• 🧬 By analyzing millions of potential medicines against cells, Recursion trains algorithms to identify compounds that can restore cells to a healthy state.

High-Throughput Phenomics and Data Infrastructure

• 🔬 Recursion operates a high-throughput Phenomics lab with the world's largest concentration of automated microscopes, capturing millions of cellular images weekly.
• ☁️ This vast amount of image data, totaling tens of petabytes, is stored and analyzed in the cloud, primarily using Google Cloud Platform (GCP).
• ⚡ The company leverages powerful computational tools like AI and GPUs, alongside robust data storage and analysis infrastructure, to accelerate drug discovery.

Impact on Drug Discovery and Patient Outcomes

• ⏱️ Recursion's platform can bring drugs to the clinic in half the time and at 80% reduced cost compared to traditional methods.
• 🚀 The company is actively working on dozens of drug programs, including one for Familial Adenomatous Polyposis (FAP), showing promising results in reducing polyps by up to 80%.
• ✨ Recursion envisions a future where AI enables individualized medicines tailored to specific diseases, significantly improving healthcare delivery and potentially preventing premature loss of loved ones.