Digital health data has become a 21st century commodity. Since the launch of commercially available fitness wearables, we’ve transitioned from “quantified self” trackers with an n-of-1 to a broader “quantified health” movement where insights are mined to improve healthcare and research across populations. As people continue daily adoption of smart devices and digital therapeutics, with wide ranging applications, endless possibilities emerge for improved health. Join us to discuss current implications – including the role of alternative data sources and predictive AI/ML for disease detection – and complexities, including widely held concerns surrounding privacy, ethics, and the health equity divide. It’s your body, hence your dataset. So, bring your questions and join the conversation.
Additional Supporting Materials
- How can imaging, audio, and other sensing technologies inform AI/ML models to power the development of diagnostic tools, biomarkers and treatments?
- What are the considerations and vulnerabilities to privacy in the digital health space, and how can you stay protected and take control of your data?
- How do we effectively leverage health data to improve health equity in society, instead of further fueling the digital divide?
- Stephen Ruhmel, Associate Director, Johnson & Johnson
- Gabriela Oana Cula, Director, Johnson & Johnson
- Andy Coravos, CEO/Co-founder, HumanFirst
- Sachin Shah, Global Medical Partner (Digital Health and Devices), Haleon
Stephen Ruhmel, Associate Director, Johnson & Johnson
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