How can you turn public air quality data into a personal health forecast? Eric Klos, Founder and CEO of DailyBreath, explains how his app bridges the gap between environmental science and individual wellness, helping users track symptoms and pinpoint the exact environmental triggers affecting their health.In this episode, you will discover:- Why most public air quality data is too broad and how to make it personal- The technical challenge of building a granular, real-time environmental health model- How AI and machine learning are used to create a personalized health risk index (the "PEHRI Score")- The future of wearable sensors and mobility data for hyper-local air quality mapping- Why preventing an asthma attack is better than treating one and the "upstream interventions" that can helpFor developers, data scientists, and public health advocates building technology for social impact.Connect With Eric Klos:Email: [email protected]: www.dailybreath.comApp: https://urlgeni.us/dailybreathappSubstack: dailybreath.substack.comChapters:00:00 Introduction to Delibrate and Daily Breath02:56 Personalizing Environmental Health05:56 The Role of AI and Machine Learning08:54 Connecting Air Quality to Symptoms11:58 Challenges in Data Collection14:59 Innovative Technologies in Air Quality Monitoring18:09 Building a User-Centric Health App20:53 Future of Environmental Health and Technology24:00 Advice for Aspiring Innovators26:47 The Importance of Communication in Tech Development29:47 Conclusion and Call to ActionSupport the Show:- Fuel the podcast: iferia.nestuge.com/supportme- Subscribe and leave a review!- Share with developers in the health tech spaceWant to Be a Guest on The Iferia TechCast?- Reach out to Ezekiel on PodMatch- PodMatch Host Profile: podmatch.com/hostdetailpreview/theiferiatechcast

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