Meet the dogs helping scientists sniff out cancer
An Indian startup is combining canine scent detection with AI in hopes of developing a simple, non-invasive screening tool.
The extraordinary sense of smell possessed by dogs is being harnessed by scientists to develop non-invasive methods for early disease detection, particularly cancer. New Delhi-based startup Dognosis is utilizing artificial intelligence to analyze the brain activity, breathing, and body language of dogs as they sniff human breath samples for signs of cancer. This technology could potentially provide an early warning system for the disease, aiding in timely intervention and improving survival rates.
Chloe, a Labrador mix trained by Dognosis, is part of a team of 15 dogs being equipped with custom-made data-gathering equipment. The startup's research indicates that dogs can detect distinct odors associated with various types of cancer, including seven major forms. In a study involving over 1,500 participants across six hospitals in Karnataka state, the Dognosis method achieved an accuracy rate exceeding 90% in identifying the presence of cancer.
While researchers are cautiously optimistic about the potential of this technology, they emphasize the need for further studies involving larger participant groups to establish definitive conclusions. India, with its high cancer prevalence, sees cancer as a significant public health concern. Dognosis aims to provide an accessible and non-invasive initial screening method, potentially identifying patients who may require further medical examination.
Dognosis's training program involves treating the dogs like a canine "Iron Man" suit, equipped with sensors to monitor their reactions to scent. The dogs are trained using positive reinforcement techniques, and work sessions are limited to around 30 to 45 minutes per day, ensuring their well-being. With India's growing cancer burden, this innovative approach seeks to offer a promising tool in the early detection and treatment of the disease.
Written by urgent.news from Free Malaysia Today's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
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