Demonstrator Lab Programs & Affiliates section
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Associated websites:

IXA

The knowledge transfer office of UvA, HvA, VU and Amsterdam UMC

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Amsterdam Science & Innovation Award

The award for the most innovative, knowledge based idea of Amsterdam

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Amsterdam Venture Studios

Amsterdam hub for innovative knowledge based startups

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Demonstrator Lab

Pre-incubator, learning-by-doing, entrepreneurship laboratory

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Entrepreneurship Cases Amsterdam

Bringing entrepreneurship education to a higher level

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Research Facilities Amsterdam

Access to high-end research instruments, facilities and expertise

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Home / Projects / CardioVR

CardioVR

VR-based Application for educating Cardiovascular patients through gamification.

By making CVD education more accessible and engaging, CardioVR aims to improve patients’ daily life feelings, medication compliance, reduce secondary heart events, play a role as a preventative education and, as a final goal, lower healthcare costs.
Why Demonstrator Lab?

Demonstrator Lab creates a supportive space where you can nurture your business efficiently. Also, connecting with other fellows working on their startups can give you a great deal of real-time experiences.

Explore other Projects:

LightUp

A pill-sized camera that drastically improves esophageal cancer screening. Each year, 600,000 people are diagnosed with esophageal cancer and 75% die within 5 years after receiving this diagnosis. Screening with conventional endoscopy is offered to people with Barrett’s esophagus, a disease linked to a higher cancer risk, but it misses 25% of early cancer and […]

Pulse Racing

Wij zijn PULSE Racing, een van de dreamteams van de VU, en zetten ons in om functionele elektrostimulatie (FES) voor mensen met een dwarslaesie verder door te ontwikkelen. Met behulp van FES kunnen ook deze patiënten hun beenspieren blijven gebruiken. En dat biedt voordelen voor zowel hun mentale- als fysieke gezondheid.

MedAI

AI-powered triage application. Crafting an AI-powered triage application designed to revolutionize initial patient assessments in healthcare. By harnessing the capabilities of advanced artificial intelligence, our project aims to mitigate excessive wait times and streamline the diagnostic process, enabling doctors and nurses to prioritize care with unprecedented efficiency. Our application leverages OpenAI’s sophisticated language models to […]

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