"There are also ad hoc reports from people who mention that their companion dogs sensed that something was wrong with them way before they were diagnosed, he said."
"We have cameras on top of the lab. We have a microphone that captures the dogs' breathing patterns. We also monitor their heart rate. So basically, the machine learning knows the baseline of the entire dog pack, Madar said."
"That's what makes it more accurate than just a handler looking at a dog."
Multi-cancer early detection (MCED) tests remain under research and lack FDA approval, though some commercially available options exist for out-of-pocket consumers, such as the Galleri blood test and whole-body MRIs costing $2,000 or more. SpotitEarly is developing an at-home breath screening method that leverages trained beagles to detect cancer-specific odors and an AI platform to validate canine behavior. Users collect breath samples at home and ship them to a lab where 18 trained dogs signal detections by sitting. The lab records cameras, audio, and heart-rate data so machine learning models can establish baselines and improve accuracy. The company was founded by experienced health and biotech leaders, including a former K9 unit commander, and is participating in Startup Battlefield at TechCrunch Disrupt 2025.
Read at TechCrunch
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