Uploaded February 2026 | Updated September 2026, 2 weeks ago
What if we could not only cut years off drug development, but also dramatically reduce clinical trial failure rates?
In this conversation, SandboxAQ CEO Jack Hidary and Nadia Harhen, General Manager of AI Simulation, explore how AI is transforming the way medicines are discovered, designed, and delivered to patients.
From Jack’s early work at the National Institutes of Health to building physics-based AI platforms, this discussion goes beyond large language models like ChatGPT and into the world of large quantitative models: purpose-built systems trained on real experimental and equation-based data to simulate biology at the molecular level.
Topics include:
-Why traditional drug development takes 10+ years — with up to 85% clinical failure
-The difference between language models and physics-based AI for molecule design
-How new architectures powered by NVIDIA GPUs and TPUs are accelerating discovery
-Releasing the SAIR dataset and other open-source tools for the scientific community
-Reducing reliance on animal models through high-fidelity in silico simulation
-Democratizing drug development for pharma, academia, and sovereign nations like Bahrain
You’ll also hear how AI helped Nobel laureate Stanley Prusiner visualize a mechanism of action he studied for decades — and how next-generation compute could further accelerate progress by 2030.
This isn’t about generating text or images. It’s about generating medicine.
Watch to learn how AI and quantum technologies are reshaping the the next 5-10 years of healthcare.
#sandboxaq #lqms #aqbiosim
What if we could not only cut years off drug development, but also dramatically reduce clinical trial failure rates?
In this conversation, SandboxAQ CEO Jack Hidary and Nadia Harhen, General Manager of AI Simulation, explore how AI is transforming the way medicines are discovered, designed, and delivered to patients.
From Jack’s early work at the National Institutes of Health to building physics-based AI platforms, this discussion goes beyond large language models like ChatGPT and into the world of large quantitative models: purpose-built systems trained on real experimental and equation-based data to simulate biology at the molecular level.
Topics include:
-Why traditional drug development takes 10+ years — with up to 85% clinical failure
-The difference between language models and physics-based AI for molecule design
-How new architectures powered by NVIDIA GPUs and TPUs are accelerating discovery
-Releasing the SAIR dataset and other open-source tools for the scientific community
-Reducing reliance on animal models through high-fidelity in silico simulation
-Democratizing drug development for pharma, academia, and sovereign nations like Bahrain
You’ll also hear how AI helped Nobel laureate Stanley Prusiner visualize a mechanism of action he studied for decades — and how next-generation compute could further accelerate progress by 2030.
This isn’t about generating text or images. It’s about generating medicine.
Watch to learn how AI and quantum technologies are reshaping the the next 5-10 years of healthcare.
#sandboxaq #lqms #aqbiosim
