SpotitEarly Leverages Dogs and AI to Detect Common Cancers
Developing effective screening methods for early-stage cancer is crucial for saving lives. While multi-cancer early detection (MCED) tests are still under research and not yet approved by the FDA, some options are available for consumers willing to pay out of pocket. Among these are the Galleri blood test and whole-body MRIs, which can cost upwards of $2,000. A new and innovative approach to cancer screening is on the horizon, thanks to SpotitEarly, a biotech company that combines the keen sense of smell of dogs with artificial intelligence to create an at-home cancer test.
Innovative Approach to Cancer Detection
SpotitEarly is making waves in the biotech industry with its unique cancer screening method. The company, which is part of the Startup Battlefield at TechCrunch Disrupt 2025, is developing a test that analyzes breath samples to detect cancer. The CEO, Shlomi Madar, emphasizes the growing body of evidence that dogs can be trained to identify diseases, particularly cancer, through their sense of smell. He notes anecdotal reports from dog owners who believe their pets sensed health issues before formal diagnoses were made. This insight has driven Madar and his team, which includes a former K9 unit commander, to create a reliable technology for cancer screening.
The process is straightforward for users. They collect a breath sample at home and send it to SpotitEarly’s lab. There, a team of 18 trained beagles is employed to detect cancer-specific odors. The dogs are trained to sit when they identify cancer particles, and an AI platform corroborates their findings. This innovative combination of canine expertise and technology aims to enhance the accuracy of cancer detection.
Promising Research and Accuracy
SpotitEarly’s research, published in Nature’s Scientific Reports, reveals promising results. The study demonstrated that the trained dogs could detect early-stage cancer in breath samples with an impressive 94% accuracy. This double-blind clinical trial involved 1,400 participants and focused on the four most prevalent cancers: breast, colorectal, prostate, and lung. The high accuracy rate underscores the potential of this method as a reliable screening tool.
The company, founded in Israel in 2020, recently announced its entry into the U.S. market, backed by $20.3 million in funding from various investors, including Hanaco VC and Jeff Swartz, the former CEO of Timberland. SpotitEarly plans to utilize this funding to expand its clinical studies, starting with breast cancer screening before progressing to other types of cancer.
Accessibility and Future Plans
SpotitEarly aims to make its at-home screening kits accessible to consumers through a network of physicians by next year. The cost for a single cancer test is projected to be around $250, with additional cancer screenings available at a reduced price. This pricing strategy is designed to make their multi-cancer panel more affordable than competitors like Grail’s Galleri test, which typically costs about $950.
Madar emphasizes the importance of the dogs in their operations, stating that all employees must be “dog people.” The dogs are not just tools for cancer detection; they are integral members of the team, enjoying ample space to play and interact with staff. This approach highlights SpotitEarly’s commitment to both innovation in cancer detection and the well-being of their canine companions.
Looking Ahead
As SpotitEarly prepares to launch its innovative cancer screening solution, the potential impact on early cancer detection is significant. The combination of canine olfactory skills and advanced AI technology could revolutionize how individuals approach cancer screening. With plans to expand clinical studies and enhance accessibility, SpotitEarly is poised to make a meaningful contribution to the fight against cancer. For those interested in learning more about this groundbreaking technology, the upcoming TechCrunch Disrupt event in San Francisco will showcase SpotitEarly and other innovative startups.
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