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Your Nextdoor PCP's avatar

This is such a needed reality-check! “Longevity medicine” isn’t hard because the science is uninteresting; it’s hard because the clinic is where complexity shows up: heterogeneous patients, imperfect evidence, long time horizons, and a lot of commercial noise. From a physician scientist’s perspective, the central challenge is translating probabilistic risk reduction into decisions that still feel human and ethically grounded. We’re often working with (1) endpoints that take years to manifest, (2) surrogate markers that can be gamed or overinterpreted, and (3) interventions whose benefit depends heavily on adherence, environment, and socioeconomic constraints. That makes the job less about finding a magic protocol and more about building a thoughtful system: prioritizing fundamentals, personalizing what truly needs personalization, and being transparent about what we know, what we suspect, and what we don’t yet know.

I also appreciate the implied tension you’re naming: patients want certainty and optimization, while good medicine demands humility, shared decision-making, and attention to harms (over-testing, incidental findings, anxiety, cost, opportunity cost). The clinicians who do this well are the ones who can hold both, ambition and restraint, at the same time.

The AI Architect's avatar

The ten challenges you outlined resonate deeply, especialy the tension between wanting to expand access and the current economic realities of cash pay models. The point about physicians building their own playbooks in absense of clinical consensus is particularly telling. Its encouraging to see the DECAF trial challenging old dogma about coffee and AFib, and the Medicare reimbursment for AI CT scans feels like a tipping point for prevention becoming mainstream rather than concierge only.

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