Uploaded March 2026 | Updated September 2026, 1 week ago
What if we could detect a dangerous heart blockage without moving a patient out of their hospital bed?
Geoff Iwata, Senior Staff Data Scientist on the AQMed team, works at the intersection of physics and machine learning, where he transforms tiny magnetic signals from the human heart into potentially actionable clinical insights.
In this video, he explains how SandboxAQ’s investigational magnetocardiography (MCG) device measures the faint magnetic fields generated by every heartbeat — and how physics-informed AI helps separate those signals from the noise of a busy hospital environment.
You’ll learn:
-How magnetic fields from the heart could potentially reveal hidden cardiac risk
-Why traditional MCG required cryogenic systems and shielded rooms
-How portable, real-world deployment aims to change what’s possible
-A real patient story from an ongoing clinical study where magnetic analysis helped identify a serious arterial blockage
By combining precision measurement science with machine learning, AQMed aims to bring advanced diagnostics directly to the bedside, with the goal of helping physicians make faster, more confident decisions when every minute counts.
Disclaimer: The SandboxAQ MCG device is an investigational device and is not yet cleared or approved by the FDA for commercial sale or clinical use.
Learn more about what Geoff and the AQMed team are up to here: sandboxaq.com/solutions/aqmed
#sandboxaq #aqmed
What if we could detect a dangerous heart blockage without moving a patient out of their hospital bed?
Geoff Iwata, Senior Staff Data Scientist on the AQMed team, works at the intersection of physics and machine learning, where he transforms tiny magnetic signals from the human heart into potentially actionable clinical insights.
In this video, he explains how SandboxAQ’s investigational magnetocardiography (MCG) device measures the faint magnetic fields generated by every heartbeat — and how physics-informed AI helps separate those signals from the noise of a busy hospital environment.
You’ll learn:
-How magnetic fields from the heart could potentially reveal hidden cardiac risk
-Why traditional MCG required cryogenic systems and shielded rooms
-How portable, real-world deployment aims to change what’s possible
-A real patient story from an ongoing clinical study where magnetic analysis helped identify a serious arterial blockage
By combining precision measurement science with machine learning, AQMed aims to bring advanced diagnostics directly to the bedside, with the goal of helping physicians make faster, more confident decisions when every minute counts.
Disclaimer: The SandboxAQ MCG device is an investigational device and is not yet cleared or approved by the FDA for commercial sale or clinical use.
Learn more about what Geoff and the AQMed team are up to here: sandboxaq.com/solutions/aqmed
#sandboxaq #aqmed
