Blog post

AI in Drug Discovery – How Recursion Pharmaceuticals is Redefining Pharma R&D

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BG

Introduction

Drug discovery is one of the most expensive and time-consuming processes in medicine. Recursion Pharmaceuticals is changing this by using AI-driven molecular simulations to identify new drug candidates faster than traditional methods (BioPharma Dive, 2025).

The Innovation: AI-Powered Drug Discovery

Recursion uses machine learning models to analyze vast biomedical datasets, predicting drug-target interactions in ways humans cannot. Their high-throughput biology platform allows researchers to screen thousands of compounds simultaneously, accelerating drug development (BioPharma Dive, 2025).

Funding & Industry Position

Recursion has already secured over $500 million in funding, with investors betting on AI as the future of pharma R&D. Most recently, its CEO launched a venture fund to support new biotech startups, further pushing AI’s role in healthcare innovation (BioPharma Dive, 2025).

The Impact

By integrating automation, data-driven insights, and AI modeling, Recursion is transforming drug discovery into a precision-engineered process, potentially cutting development timelines in half and saving billions in research costs.

Sources: BioPharma Dive

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