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Lindus Health raises $55M to 'fix the broken clinical trial industry' | TechCrunch

Jan 22, 2025 - techcrunch.com
Lindus Health, a London-based startup founded in 2021, has raised $55 million in a Series B funding round led by Balderton Capital, with participation from Creandum, Firstminute, Seedcamp, and Visionaries Club. The company aims to revolutionize the clinical trial industry by using artificial intelligence to streamline the end-to-end process of running trials. Lindus Health's platform automates labor-intensive tasks such as protocol design, leveraging machine learning to expedite the trial process. The startup has already conducted trials for conditions like asthma and diabetes across Europe and the U.S., and plans to expand its operations by moving its headquarters to the U.S. and investing in more complex trial types and AI applications.

The rise of AI in drug discovery has increased the demand for efficient clinical trial processes, as startups like Lindus Health seek to modernize the industry. Co-founder Meri Beckwith emphasizes the need to address the bottleneck in clinical trials to realize the full potential of AI-driven drug discovery. With the new funding, Lindus Health plans to enhance its commercial team, improve integrations with third-party tools, and explore real-time data analysis using AI. The company aims to help biotech firms test and iterate more rapidly and safely, ultimately accelerating the development of life-saving pharmaceuticals.

Key takeaways:

  • Lindus Health, a London startup backed by Peter Thiel, raised $55 million in a Series B round to revolutionize the clinical trial industry using AI and automation.
  • The company has developed a platform that streamlines the clinical trial process, including protocol design, patient recruitment, and data collection, with a focus on complex and prevalent conditions.
  • Lindus Health plans to expand its operations by moving its headquarters to the U.S., investing in its commercial team, and integrating with third-party tools like electronic medical records.
  • The company aims to enhance its use of AI for real-time clinical trial data analysis and improve the efficiency of clinical trial infrastructure to support biotech companies.
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