Vaaji Smart Patch System Achieves Perfect Accuracy in Safety Monitoring Pilot Study

By Trinzik

TL;DR

Vaaji's smart patch system offers a competitive edge by preventing medication errors, potentially reducing healthcare costs and improving patient outcomes in transdermal drug delivery.

Vaaji's system uses IoT sensors and AI to monitor patch status with 100% accuracy, detecting stacking errors in real-time through a validated proof-of-concept study.

This technology enhances patient safety for conditions like Alzheimer's, reducing overdose risks and supporting independent living for aging populations through smarter home care.

A smart patch system achieved perfect accuracy in detecting medication errors, using AI to transform standard patches into intelligent safety tools for healthcare.

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Vaaji Smart Patch System Achieves Perfect Accuracy in Safety Monitoring Pilot Study

Vaaji announced the successful completion of its pilot study conducted in collaboration with the Penn Artificial Intelligence and Technology Collaboratory at the University of Pennsylvania. The exploratory study, part of the AI/Tech + Aging Collective funded by the National Institute on Aging, achieved 100% technical accuracy in monitoring patch status. These results validate Vaaji's proprietary smart patch system as a robust tool with the potential to significantly improve safety in transdermal drug delivery.

Transdermal patches are a vital delivery mechanism for medications treating Alzheimer's, Parkinson's, and pain management. However, in real-world scenarios, patients or overwhelmed caregivers may accidentally apply a new patch without removing the old one or forget applications entirely. In active therapy, this can lead to ineffective treatment or potentially life-threatening overdoses. Vaaji is developing a solution to transform standard passive patches into smart therapeutics by leveraging advanced Internet of Things sensors and Artificial Intelligence to provide real-time visibility into medication adherence.

The proof-of-concept study enrolled 51 healthy volunteers using placebo patches to evaluate the system's detection capabilities against manual oversight. The results confirmed the platform's technical reliability with 100% agreement between Vaaji's remote monitoring data and site investigator records, matching the gold standard of direct human supervision. The system successfully identified simulated patch stacking in real-time, validating the core technology required to prevent overdose events in future clinical applications. The technology integrated smoothly into the volunteers' daily routines, supporting the feasibility of the system for home-based care.

Patrick Mercier, Professor of Electrical and Computer Engineering at UCSD and Chief Technical Advisor at Vaaji, stated that this study provides the first real-world evidence that their smart patch platform can deliver perfect accuracy in detecting patch application errors. William Z. Potter, co-Principal Investigator and Chief Scientific Advisor at Vaaji, noted that the 100% agreement between remote monitoring and site investigator records is a landmark result for this early-stage development. Sandeep Patil, Co-founder of Vaaji, emphasized that with the aging population growing rapidly, the need for technologies that enable safe, independent living is more urgent than ever.

The data from this pilot study will inform Vaaji's clinical and regulatory strategy as the company advances toward broader clinical trials involving active therapeutics. The company aims to establish its smart monitoring platform as a new safety standard for high-risk transdermal medications. The project described is supported by the National Institute on Aging of the National Institutes of Health under Award Number 1-P30-AG-073105-01. For more information on Vaaji's patient-centric platform, visit https://www.vaaji.io.

Curated from 24-7 Press Release

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Trinzik

Trinzik

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Trinzik AI is an Austin, Texas-based agency dedicated to equipping businesses with the intelligence, infrastructure, and expertise needed for the "AI-First Web." The company offers a suite of services designed to drive revenue and operational efficiency, including private and secure LLM hosting, custom AI model fine-tuning, and bespoke automation workflows that eliminate repetitive tasks. Beyond infrastructure, Trinzik specializes in Generative Engine Optimization (GEO) to ensure brands are discoverable and cited by major AI systems like ChatGPT and Gemini, while also deploying intelligent chatbots to engage customers 24/7.