Ainos (AIMD) announced that its proprietary AI Nose platform achieved approximately 85% accuracy in detecting excretion odors data, an improvement from 80% previously, based on collected from 254 participant instances in Japan and Taiwan, resulting in 2119 valid entries for subsequent statistical evaluation. The milestone validates AI Nose as a deploy able solution for non-contact hygiene monitoring in long-term care and positions Ainos to lead the emerging SmellTech category. AI Nose digitizes scent into Smell IDs using MEMS gas sensors and proprietary AI models harnessing 13 years of scent data across healthcare and industrial use-cases. Its compact, embedded-ready design enables seamless integration into portable devices, ambient monitors, or robotic platforms. Ainos is aiming to address the aging population by aligning with government efforts to digitize aging care and reduce institutional burden. Ainos targets high-impact use cases in long-term care for seniors, including: Automated hygiene alerts for excretion odor events Early detection of incontinence in home and facility settings Scent-triggered workflow optimization to reduce caregiver fatigue Scent-driven early intervention to reduce skin injuries and infections
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