Evaluating Decision-Grade AI Evidence in Life Sciences
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With alumnus from the University of Oxford, MIT, Google DeepMind, McKinsey, and other world-class institituions, we bring the best of commercial and technology to applied life sciences AI.
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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.
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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.

Reliant AI is a research tool for the life sciences industry. We're built to serve teams across startups and enterprises, including commercial, medical, and both large and boutique consulting teams, as well as medical writers.
This webinar addresses the "credibility gap" in AI for Life Sciences. Specifically, we will discuss how to evaluate decision-grade AI evidence in HEOR, Market Access, and Medical Affairs to ensure scientific rigor and data provenance.
This event is tailored for professionals in HEOR & Market Access (Major Pharma & Biotech), Medical Affairs & Evidence Synthesis, Commercial Data & Pricing Teams, and Systematic Review Teams.
The live session is scheduled for Wednesday, March 25th, from 12:00 PM – 1:00 PM ET. If you cannot attend live, please register to receive the on-demand recording.
We encourage active participation. There will be a dedicated Live Q&A segment during the final 15 minutes of the broadcast. You can also submit questions in advance via the registration form.
We are an Applied AI company, focusing on the life sciences domain. Our technology is built by experts from Google DeepMind, Google Brain, and leading academics trained at universities like the University of Oxford and McGill.
Make confident decisions in minutes, not weeks. Complete the form below and a member of our team will be in touch.