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The promises and pitfalls of personalized health

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Why This Matters

This article highlights the importance of accurate medical terminology, such as the renaming of PCOS to PMOS, in improving diagnosis, treatment, and understanding of complex health conditions. For the tech industry, this shift underscores the need for better health data management and personalized healthcare solutions that reflect nuanced medical realities, ultimately benefiting consumers through more precise and effective care.

Key Takeaways

This is Optimizer, a weekly newsletter sent every Friday from Verge senior reviewer Victoria Song that dissects and discusses the latest gizmos and potions that swear they’re going to change your life. Opt in for Optimizer here.

A few days ago, my esthetician was smearing hot wax on my face. The two caterpillars I call eyebrows were in desperate need of taming — as was my lady ’stache. I hate this monthly ritual, but facial hair is a sore spot. Hirsutism is perhaps one of the few visual indicators of a condition that’s plagued me for the past decade. Until this week, I’ve always known it as polycystic ovary syndrome (PCOS).

Normally, I spend waxing sessions chattering away about the weather (it’s sort of hard to have deep conversations when someone is ripping hair off your face). But that day, we spent the entire session talking about how the global medical establishment decided this week to rename PCOS to polyendocrine metabolic ovarian syndrome, or PMOS.

There are several reasons why. Despite the original name, PMOS — which affects roughly 170 million, or one in eight, women worldwide — often doesn’t result in ovarian cysts. The updated name more accurately reflects how it’s both a hormonal and metabolic condition, not purely a reproductive one. The reality is that the condition can impact multiple organs and is associated with other health conditions, like insulin resistance, Type 2 diabetes, obesity, cardiovascular disease, and obstructive sleep apnea. According to The New York Times, focusing the name on one symptom of the condition — ovarian cysts — has led to inadequate clinical training, poorer research funding, delays in diagnosis, and fragmented care for people suffering with PMOS. In my experience, doctors have often told me that PMOS is benign and decline to offer treatment unless I want to actively pursue pregnancy.

As it turned out, my esthetician also has PMOS. Except where she has ovarian cysts, I don’t. I have insulin resistance; she doesn’t. I struggle a bit with hirsutism, while she lamented about cystic acne. We both put on roughly 60 pounds out of nowhere, but she was able to get it under control through intermittent fasting, a specialized diet, and supplementing with milk thistle and myo-inositol, a type of carbohydrate that helps improve insulin sensitivity. Metformin — a diabetes drug that’s used off-label to treat PMOS — did absolutely nothing for her, while it’s an effective part of my treatment along with a GLP-1.

I’ve had this conversation with so many fellow PMOS sufferers over the years. We always marvel at how the same condition can manifest in such wildly different ways. And while we often swap tips, I’ve never heard of a single treatment working for everyone I’ve ever met with PMOS. Personally, I’ve spent roughly 12 years at this point trying to get mine under control. It’s the reason I first turned to wearables and health tech.

And it’s the first thing I think about whenever a health tech company or wellness influencer pitches the idea of personalizing health.

May is usually when my calendar starts filling up with meetings with the companies on my beat. It’s the start of several conversations about what new products and features are on the docket, where they see this category evolving, and how they’re thinking about current wellness trends. Of the half dozen I’ve had so far this year, there’s one concept that keeps coming up time and time again: personalized health.

All the companies I’ve spoken with agree that teasing out useful insights from a mountain of health data is confusing. But I’m repeatedly told that by being smart about data, the holy grail is personalized health — meaning recommendations based on your individual health metrics versus generalized advice. A simple example might be if your heart rate variability metric shows good recovery, but you had a lousy night of sleep, a wearable device might recommend a moderate 20 minutes of vinyasa yoga as opposed to a high-intensity interval training workout. If you diligently log your meals, perhaps a health AI will identify that the roasted broccoli in your lunch is interacting with a medication and is the likely culprit behind your daily battle with sulfur burps. Depending on your CGM and blood test data, maybe your fitness tracker will one day tell you what supplements to take. And then, I’m often told, you’d have a lot more agency over your health.

It’s an alluring premise. Health is highly individualized. Your genetics play a large role in what medications work for you, what conditions you’re predisposed to, and even what sports your body might be best suited for. I can understand why health tech companies, big and small, are excited by this concept. But again, I have to point to my journey with PMOS.

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