Webinar

Measuring The Machines

Evaluating Decision-Grade AI Evidence in Life Sciences

A Cross-Industry Panel on Validation, Bias Detection, and HEOR Excellence

Date: Monday, March 30th | Time: 12:00 PM – 1:00 PM ET

‍Location: Live Virtual Symposium
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Join us to ensure your organization’s adoption of AI is built on a foundation of transparency, confidence, and scientific integrity.

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Meet the Panel

With alumnus from the University of Oxford, MIT, Google DeepMind, McKinsey, and other world-class institutions, we bring the best of commercial and technology to applied life sciences AI.

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Marc Bellemare, PhD
Reliant AI, Co-Founder and CSO
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Song Wang, PhD
Global Medical Evidence Lead in Innovation, Takeda
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Faisal Mehmud, MD
Chief Medical Officer, Medicus Pharma
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Brielan Smiechowski, MSc
Moderator
Reliant AI | Mann School of Pharmacy, USC

More Information On Reliant AI 
& Our Webinar

What We Will Address

The Credibility Gap: Why current evaluation frameworks are failing and how to fix them.

Practical Validation: Real-world approaches to bias detection and metric alignment.

Defining Decision-Grade: Identifying shared principles for assessing AI-generated evidence in evidence synthesis and systematic reviews.

About Reliant AI

We are a global team, driven by a shared mission: leveraging the power of AI to improve the ability of others to excel at their work.

Our team of world-leading AI researchers, software engineers and life sciences experts is pushing the state of the art in ML & AI in pursuit of this goal every day.

Learn More

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