Year 5 Pilots

New Product Launch: Lumia 2 Smart Earrings

  • Post category:A30 - Lumia

Lumia is bringing their lightest wearable tech for measuring blood-flow to a whole new market with the introduction of a fine jewelry inspired smart-earring form factor with expanded health monitoring features. BOSTON – Nov. 18, 2025 – Lumia today announced the launch of Lumia 2, the world’s first smart earrings that continuously track real-time blood flow to your head, giving anyone instant insight into how blood flow affects energy, focus, and mental clarity. Originally developed with Johns Hopkins, Duke, and Harvard researchers to help patients with chronic blood flow disorders like POTS (Postural Orthostatic Tachycardia Syndrome) and Long COVID-19, Lumia is now available to everyone for the first time.Indistinguishable from fine jewelry, Lumia 2 can be worn as huggie hoops, cuffs, and studs offered in gold, silver, and clear finishes, and also attaches to any…

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Funding: $7 million venture capital seed raise

  • Post category:A30 - Lumia

Boston-based wearable health company Lumia has raised $7 million from J2 Ventures, BonAngels Venture Partners, and angel investors to commercialize Lumia 2, its new generation of smart earrings that monitor blood flow in real time. With an additional $5.1 million in government contracts and grants, the company’s total funding has reached $17.2 million. The Lumia 2 earrings, available in gold, silver, and clear finishes, weigh less than one gram and can be worn as huggie hoops, cuffs, or studs. The device uses SwitchBack technology to attach to standard push-back earrings, while the cuff version can be worn without a piercing. Each smart earring includes sleep, temperature, menstrual cycle, and readiness tracking alongside continuous blood flow measurement. “This is what comes after smart rings,” said Daniel Lee, co-founder and CEO of Lumia. “Just as Oura made…

Continue ReadingFunding: $7 million venture capital seed raise

Wearable Heart Failure Socks for Exacerbation and Treatment Monitoring

Pamela Z. Cacchione, University of Pennsylvania. Li Shen, University of Pennsylvania. Heart Failure Monitoring Socks will be used in hospitalized persons with heart failure to gather data on heart failure exacerbations and responses to treatment. We will use this data to develop predictive models for edema and fatigue due to heart failure.

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Voiceitt: AI-Enabled Speech Recognition for Older Adults with Severe Dysarthria

Katie Seaver, The Babel Group. Rachel Khasky-Levy, The Babel Group. This project will evaluate a personalized speech recognition app built by Voiceitt for adults aged 55+ with severe dysarthria, focusing on accuracy, usability, and user satisfaction. Participants will train the app on their own speech and use it in daily life, with support from The Babel Group.

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AI-Driven Drug Repurposing to Identify Potential Geroprotectors

Jesse Poganik, Brigham and Women's Hospital This pilot project leverages artificial intelligence and advanced aging biomarkers to identify existing FDA-approved medications that may slow biological aging, using clinical data and biospecimens from over 155,000 participants in the Mass General Brigham Biobank. By focusing on approved drugs with established safety profiles, this approach enables rapid translation of findings into clinical practice for promoting healthy aging and preventing age-related diseases.

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Empowering Caregivers of Individuals with Cognitive Impairment to Make Safe Nonprescription Drug Decisions

Eun Kyoung Choe, University of Maryland-College Park This pilot develops Aidara, an AI-powered digital health system that helps caregivers of individuals with cognitive impairments make safer over-the-counter medication decisions. Through multimodal interaction and personalized guidance, Aidara aims to support informed decision-making and reduce medication-related risks.

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Low-Cost mHealth Technology for Objectively Assessing Hearing Loss at Home

Wenyao Xu, Auspex Medix. Wei Sun, University at Buffalo. This project is to investigate an AI-powered, smartphone-based hearing screening tool that uses non-volitional pupillary responses to objectively assess hearing functions and loss.

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