By Dr. Brandon Bright, DAOM, LAc · Doctor of Acupuncture & Oriental Medicine · Functional Medicine University-certified · Tustin, CA · Last reviewed: August 31, 2026
Function Health has been on an acquisition-and-alliance streak — a $450 million raise, a phlebotomy company, a supplement platform, a credit-card distribution deal — and in August it added its most credibility-rich move yet: a research partnership with NYU Grossman School of Medicine, aimed at advancing earlier disease detection in cancer, cognitive decline, and cardiometabolic risk by pairing Function’s longitudinal member lab data with NYU’s clinical expertise. It’s a genuinely good development, and I say that as an unaffiliated clinician who regularly recommends Function’s testing to patients. But I’ve already had members ask me some version of the same question: “Function is working with NYU now — does that mean my results are being reviewed at an academic-medicine level?” No. And the difference between what this partnership is and what it feels like is worth five minutes of your time, because it’s the difference between research and care.
The 55-second answer
The Function–NYU partnership is a research collaboration: Function’s aggregated member data plus NYU’s scientists, working on population-level early-detection questions whose findings may improve medicine broadly over years. It is not a care arrangement: no NYU physician reviews your panel, the partnership adds no clinical interpretation to your results today, and your relationship with Function remains what it was — excellent comprehensive testing with an AI summary layer, and the “what should I actually do about these 12 flagged markers” question left, as ever, to you and whatever clinician you bring your results to. Research improves future medicine; care changes your next 90 days. You need both — from the right sources.
What the partnership actually is
Announced August 12, 2026: Function and NYU Grossman School of Medicine launch research using Function’s longitudinal biomarker dataset — one of the larger repeat-testing datasets in consumer health — to study pre-symptomatic detection in three areas: cancer, cognitive decline, and cardiometabolic disease. For the research world this is legitimately valuable; population-scale, repeat-measure lab data is hard to assemble, and early-detection science needs exactly that. Members contribute (per Function’s data terms) to studies that may eventually sharpen screening for everyone.
Strategically, it’s also the latest move in a clear pattern. Testing itself is commoditizing — Quest and Labcorp run the same assays for everyone. So Function has been buying and building everything around the test: collection (Getlabs), supplements (SuppCo), distribution (a complimentary Function membership now ships as a Robinhood Platinum Card perk), and now institutional credibility (NYU). When everyone has the same blood panel, the competition moves to who is trusted to interpret it. Function is answering that question with an institution’s halo. It’s smart. It’s also exactly where members need to keep their eyes open.
What it doesn’t change: the interpretation gap
Here’s the test that matters. Log into your Function dashboard today, post-announcement, and look at your flagged markers. What’s different about the guidance? Nothing — because the partnership operates at the population-research layer, not the your-results layer. The structural gap I wrote about in the full Function Health review is untouched:
- The AI interpretation is generic by necessity. Two patients with an hs-CRP of 4.2 — one metabolic, one autoimmune-brewing, one training too hard — get similar summaries. Which one you are is a clinical determination the platform doesn’t make.
- Nobody at Function (or NYU) is accountable for your plan. Research authorship and clinical responsibility are different jobs with different duties. The partnership adds the former, not the latter.
- Context lives outside the dataset. Your medications, cycle status, symptoms, history, and goals — the inputs that turn 100 biomarkers into a protocol — aren’t in the panel. Reading blood results well is precisely the act of joining numbers to context.
None of this is a criticism of Function. It’s a category truth the NYU halo makes easier to forget: a research partnership on top of a data layer is still a data layer. The same caution applies across the space — WHOOP’s labs, Superpower’s panels, every “we test everything” product. Collection scales; interpretation doesn’t. That’s why interpretation is where the patient value concentrates.
How to use Function well in 2026 (unchanged, now with a caveat)
- Use it for what it’s genuinely best at: broad, repeat-measure baseline data at a fair price — twice-yearly 100+ marker panels that catch trends single tests miss.
- Treat the AI summaries as a table of contents, not a plan. They tell you where to look; they can’t tell you what to do.
- Bring the results into a clinical relationship. A clinician who knows your context turns the panel into a sequenced protocol — which markers matter most for you, what to change first, what to re-test and when. That’s the work we do at the Tustin practice with patients’ Function data every week: labs + history + Chinese medicine diagnostics + a protocol with an accountable name on it. First visit $199 in person, $150 virtual for California residents — book here.
- New caveat — know your data’s research role. With member data now feeding institutional research, it’s worth two minutes in your privacy settings to understand what’s shared and in what form. Research use is a legitimate trade many members will happily make — it should just be a trade you know you’re making. (The broader rules of health-data privacy outside HIPAA are covered in the wellness-app privacy guide.)
The bigger pattern worth watching
This year has made the shape of the longevity market unmistakable: a $16B wearable IPO, nine-figure raises for testing platforms, hardware given away free to acquire subscribers — the market pays enormous premiums for data collection at scale. Meanwhile the thing patients actually need — someone qualified to say “here’s what your numbers mean for you, and here’s the plan” — doesn’t scale, which is why the platforms keep approximating it with AI layers and borrowing it from institutions. The practical takeaway for a patient isn’t cynicism. It’s sequencing: collect broadly (Function does this well), interpret personally (a clinician does this), and never mistake the first for the second — no matter whose logo is on the press release.
Frequently asked questions
Does the NYU partnership mean doctors review my Function results?
No. Function’s existing clinician-review layer for critical values is unchanged; the NYU collaboration is population research, not individual result review.
Is my Function data being used in the NYU research?
Member data contributes per Function’s data-use terms, typically in de-identified/aggregated form. Check your account’s privacy settings for specifics and any opt-out.
Does this make Function better than Superpower or WHOOP’s lab product?
It signals research investment; it doesn’t change the member-facing product comparison today. The three-way comparison is here — the honest answer is they’re converging on similar testing with different wrappers, and the differentiator remains what you do with the results.
Should I cancel Function and just see a doctor?
Not either/or. Function’s testing plus clinician interpretation is the strong combination — that’s the model I recommend and practice. Testing alone leaves the gap; a clinician without data guesses.
Will the research eventually help me personally?
Plausibly, over years — better early-detection thresholds would flow back into everyone’s medicine. That’s the honest timescale of research, and it’s exactly why it isn’t a substitute for care this quarter.
Dr. Brandon Bright is a Doctor of Acupuncture and Oriental Medicine (DAOM), Licensed Acupuncturist in California, and Functional Medicine University-certified. He runs a multi-modality holistic medicine practice at 13732 Newport Ave STE 2, Tustin, CA 92780. Phone: 714-206-7883. He has no financial relationship with Function Health, NYU, or any company named in this article. He is not a medical doctor. This article is educational and not a substitute for individualized medical advice.