In this episode of AI For Pharma Growth, Dr Andree Bates speaks with Clara Bernardes, co-founder and CSO of Biorce, about how AI can accelerate clinical development without sacrificing compliance or scientific rigour.
Biorce was born from a deeply personal experience. After Clara's father-in-law received a terminal melanoma diagnosis, access to a clinical trial through compassionate use extended his life from an expected three months to more than a year. That experience shaped Biorce's mission: reduce the time it takes promising treatments to reach patients.
Clara explains why clinical trials are still slowed by protocol amendments, patient identification problems, poorly designed criteria and human-led errors that could often be caught much earlier.
The conversation explores how Biorce uses AI and almost one million annotated protocols to support protocol development, learn from previous trial amendments and provide clear rationale for recommendations. Clara also discusses why transparency, AI ethics and keeping humans in the loop are essential in regulated clinical development.
The key message is that speed and compliance do not have to be opposing forces. The goal is not to replace scientists or investigators, but to give them better information faster while preserving human judgement.
Topics Covered
Why clinical trials start late
Protocol amendments and avoidable human error
AI-generated clinical trial protocols
Learning from previous trial failures
Transparency and explainability
AI ethics and regulatory compliance
Keeping humans in the loop
Balancing quality with velocity
What sponsors should ask AI vendors
About Eularis
Eularis builds AI capability inside pharma and biotech — over 20 years applying AI to real pharmaceutical problems, inside real pharmaceutical and biotech companies.
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About the Podcast
AI For Pharma Growth is the podcast from Dr Andree Bates, helping pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands and improve company results. The show demystifies AI for biopharma leaders, from start-up biotech through to Big Pharma.
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