Overview: Model Health enables the capture and analysis of objective, standardized, and comprehensive movement data using only standard smartphone video. Combining AI with biomechanics, it empowers sports and clinical professionals to enhance rehabilitation outcomes and human performance with objective, clinically relevant data—from post-surgical recovery and athletic return-to-play to fall prevention in older adults.

Axo Neurotech | Amy Rochford
Overview: Axo Neurotech is building next-generation neural interfaces using cutting-edge material science and a biology-first approach to solving the problem of integrating electronics with the body. The aim is to improve patients’ lives.

Billion Labs Inc | Edward Wang
Overview: Billion Labs Inc., founded by UCSD professor Dr. Edward Wang, is redefining blood pressure monitoring. Our smartphone-based solution eliminates the need for cuffs or add-on devices, making monitoring affordable and accessible. Patients simply download the app, and their phone becomes the monitor.

Care Collaborative | Ronald AngSiy
Overview: Patient empathy training for doctors, nurses, and medical students via real-time Zoom conversations with AI patients over difficult topics (i.e. cancer diagnosis, medication adherence, etc.) real-time video LLMs.  Using novel technology with Fortune 10 companies under NDA.

DizzyEX | Danyang Fan
Overview: Recurrent dizziness affects 8% of U.S. adults each year, driving severe disability and $60B in misdiagnosis costs. Because attacks are rarely observed in clinic, patients endure years of unnecessary procedures and worsening habituation. DizzyEX is the first discreet wearable biosensor to capture diagnostic biomarkers during real-world dizzy episodes at home, turning subjective histories into objective evidence. Backed by Stanford and UPMC expertise, we target a $6.3B U.S. TAM.

Exposomics | Allison Zhang
Overview: Exposomics is redefining environmental intelligence with a wearable sensing and automated rapid detection platform that delivers real-time insights into invisible exposures affecting human health. By making environmental data as accessible and actionable as personal health information, we empower individuals, healthcare providers, public health agencies, and communities to spot risks early, respond decisively, and build resilience. Continuous wearable monitoring combined with AI-powered analytics maps the personal exposome—the full spectrum of what people breathe, touch, and encounter—turning hidden exposures into actionable health intelligence.

MiiHealth AI | Jacob Lester
Overview: MiiHealth AI’s agentic AI for patient intake is saving providers over 2h a day by streamlining patient intake and reducing provider burnout. DAINA, our Dynamic AI Intake and Navigation Agent, autonomously gathers patient histories and generates structured notes before each visit, enabling focused face-time with patients. In 6m we’ve raised over $600K pre-seed from clinician angels, developed the product with clinicians, and completed our first clinical trial with Mayo Clinic, commercializing across further health systems.

Model Health | Antoine Falisse
Overview: Model Health enables the capture and analysis of objective, standardized, and comprehensive movement data using only standard smartphone video. Combining AI with biomechanics, it empowers sports and clinical professionals to enhance rehabilitation outcomes and human performance with objective, clinically relevant data—from post-surgical recovery and athletic return-to-play to fall prevention in older adults.

Perception Medicine | Yijiang Chen
Overview: Perception Medicine delivers AI powered deep spatial profiling of tissue. Their multimodal foundation AI models integrate tissue and cell morphology, clinical text, and spatial multi-omics to predict cellular gene/protein expression and phenotypes for unified representations and tissue-based single cell multi-omics and phenotype prediction, leading to interpretable biomarkers for faster/cheaper diagnostics for all oncology patients.

eWEAR is an initiative at Stanford University that aims to solve challenges to enable breakthrough applications for future devices, and associated AI, for health and medical use. eWEAR fosters translational research that starts as innovation in the lab, to become an engineering prototype, then a proven, impactful solution.    

The objective of the eWEAR Health Prize @ Stanford U. is to encourage emerging companies with breakthrough, deep tech innovations for health or medical use.  The event is foremost an opportunity for contestants to participate in a positive environment to…

1. gain recognition as a company invited to present in the eWEAR Health Prize @Stanford U. competition;
2. pitch to a group of seasoned investors;
3. describe their company to a public audience;
4. receive feedback on pitch and company idea;
5. network with potential investors and business partners. 

Contestants who are not the chosen winner will receive a $1000 prize for pitching.  There will be up to 8 companies participating. 

Frequently asked questions can be found here.

Application Process 

Applications will be accepted until September 12^th at 5:00 pm PDT. 

To apply to be invited to pitch at the eWEAR Health Prize @ Stanford U. competition, provide the requested information on the online form. Responses should indicate how the innovation fits the theme of the competition. 

Applicants invited to compete in the pitch competition will be notified by September 26^th. 

Eligibility

The company must fit the theme of Deep Tech at the intersection of the medical/health sector with innovation in one or more of the following areas: artificial intelligence, brain-machine interfaces, longevity, precision health, or robotics.

Companies should be at a very early stage, seeking pre-seed funding, or seed funding that is pre-A round funding.  Companies seeking A-round funding or later will not be considered.

Applicants should be the founder (or co-founder) of the company and be 18 to 35 years old on September 1, 2025. The company must be incorporated in the U.S.A. and have a business location in the U.S.A.

Key Dates

• Applications open: July 25, 2025
• Application submission deadline: September 12, 2025
• Notification of invitation to compete: September 26, 2025
• eWEAR Health Prize @ Stanford U. competition event: October 30, 2025

Participant Selection and Judging

Founders of start-ups chosen to participate in the competition will be chosen based on criteria, such as:

• Transformative impact of the innovation: How much does the innovation offer an advantage/benefit, versus known alternate solutions? 
• Moonshot potential: What future applications or capabilities does the innovation enable beyond the initial uses?
• Market opportunity: How many users could this innovation benefit?
• Potential to improve quality of life: What is the ability of the innovation to contribute to improving quality of life, and/or creating social good for those it is intended to help? 

The winning participant will be selected at the pitch event by a panel of judges composed of investors, entrepreneurs, physicians, and experts from industry.

Requirements

Invitees present in person for 10 minutes at the pitch competition and attend the award ceremony at the end of the event.  To prepare, each invitee will have a 30-minute meeting with event organizers via Zoom in October and send presentation slides by October 24th.

The winning company agrees to provide progress updates for mentoring feedback after six months and one year via presentations if requested.  The winner may be invited to present to a public audience at future eWEAR events.

Audience

The competition will be in-person only (not broadcast) with a live audience and registration open to the public.  At least 150 attendees are expected.  The audience is mostly from the Stanford community, investors, and companies in the tech and medical sectors. 

Contact

Questions? Email us at wearable-electronics@stanford.edu

FAQ’s

Q: Will participant expenses be reimbursed?

Q: Will companies need to provide equity to receive the prize?

Q: Does the technology need to be related to wearables?

Q: Will there be confidentiality agreements in place?

Q: Can I register to attend the event as an audience member?

Q: Why has the prize money been reduced?

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