Empirical Heart Health - Don't die of a heart attack
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Measure, predict, and prevent your risk of heart disease. Start with 85+ biomarkers for $190, then build a personalized action plan using your results and data from your Apple Watch, Fitbit, Samsung, and Pixel.
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YouMind
Looking forward to this product. Heart health is especially important for most of developers. I get regular checkups every year, and I hope this app can help with preventing heart disease. Also, one suggestion: the overall UI of the current interface could be further optimized. Many of the spacing ratios are uncomfortable to look at.
Empirical Health
@hi_caicai Thanks for the support and suggestion!
Cardiogram 2.0
This seems like a really cool extension of the service! You've made the comprehensive panel obviously the most compelling-looking in the app, but would it be possible to make it easier to see what subsets of the comprehensive are covered in the Core blood/adv cardio/core cardio? e.g. maybe color code each and show the respective colors wherever they overlap. I presume the comprehensive is just the union of all the other biomarkers possibly testable.
How do the biomarker tests play with the Empirical Pro subscriptions if at all?
And do you all have any recommendation on how frequently I should retest? e.g. is it realistic that I could make significant improvements in key markers 3 months later if I were curious?
Very cool launch!
How is it different than the regular annual exam I get from my doctor?
Empirical Health
@yutong_pei1 A few reasons!
Most annual exams don't include comprehensive lab testing. For example, ApoB and Lp(a) are important predictors of cardiovascular risk but aren't traditionally ordered in an annual exam.
You can quantify how specific actions, like taking a statin or reducing saturated fat, reduce your risk of a heart attack by age 70. These predictions aren't generic, they're based on your actual biomarkers and medical history.
You'll get a customized action plan based on your bloodwork with nutrition and exercise goals, and can easily track your progress in the app.
Combining wearables with insights is brilliant! 👀
Empirical Health
@shenjun Thanks for the support!
This looks awesome! I’ve had blood work done before, but it always felt like there wasn’t enough information to get a full picture. I love that you’re measuring so many different biomarkers, and the personalized health plan seems way more useful than the usual advice. Definitely looking into this! Keep it up!
Empirical Health
@alsng thanks Alvin! Let us know what you think when you've had a chance to try things out.
mysite.ai
Love how Empirical combines wearable data with comprehensive biomarkers to create a personalized heart health plan. Curious—how do you ensure the accuracy of data from various devices like Apple Watch and Fitbit?
Empirical Health
@patpijanowski Great question! We've written a ton of deep dives on the accuracy of each individual sensor (and potential sources of error). Here are a few examples:
How Apple Watch estimates VO2Max to 1.2 ml/kg/min without a treadmill test
Apple Watch's heart rate monitor is accurate to 5bpm 89-98% of the time
How wearables detect 89% of severe sleep apnea (but are less accurate for moderate sleep apnea)
And some on the limitations of the sensors: calories (less accurate), deep sleep (directionally correct, but sometimes underestimates), REM sleep (same), why Apple Watch's ECG can't detect heart attacks (even in theory--it's only Lead I). For the sensors that are less accurate or have limitations, we use the signal from the wearable as a potential clue, but rely on a medical-grade test to actually diagnose. For example, we'll order an at-home sleep apnea test for people which can measure more channels of data, which are required to actually diagnose sleep apnea.
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Awesome vision!!! Amazing launch!!!
Empirical Health
@chris_shu1 thank you!
This product can certainly save the lives of a lot of folks... Best of luck for this launch, @Empirical Health Team!
This is an incredibly thoughtful and much-needed approach to preventative health. The fact that heart disease is both the #1 killer and largely preventable makes it the perfect target for a smarter, data-driven solution like Empirical. I love that it combines comprehensive biomarker testing with predictive modeling and an actually personalized action plan—far beyond the generic advice we’re used to. Integrating with wearables and using AI for meal tracking shows real attention to usability and long-term engagement. Big congrats on the launch and mission—helping save a million lives is an audacious goal, and you’re clearly on the right track.