Latest longevity research, read by Luna.

Every day at 9am Pacific, a research engine inside Heaven Health reads roughly four thousand peer-reviewed studies on aging, geroscience, NAD+, rapamycin, sirtuins, cellular senescence, metabolic health, sleep and longevity nutrition — and surfaces the ones that change what we know. This page is the hub for those analyses. Bookmark it. New papers publish here as they pass review.

What the research engine actually is

Heaven Health runs a continuous autonomous research pipeline that queries PubMed across ninety goal-tagged longevity topics and pulls the day's new papers into a multi-stage analysis. A literature analyst summarises each paper. A hypothesis generator looks for cross-paper signals and proposes testable claims. A protocol designer asks: if this is real, what would a person reasonably do with it tomorrow? A goal scorer measures how each finding nudges three north-star goals — slowing aging, reversing aging biomarkers, and extending healthy life. The whole pipeline runs nightly. It does not sleep. It does not get tired. It does not lose interest in a topic after the news cycle moves on.

To date the engine has analysed 13,367 peer-reviewed studies, generated 315 hypotheses and produced 82 structured protocols. None of those numbers are demo data. They come from the production Firestore that backs the app and is audited every batch. You can think of it as one extremely patient PhD student who reads twenty papers an hour, every hour, forever — and writes up the ones that matter.

The point of all that work is not to publish a feed. It is to make Luna — the AI assistant inside the app — better informed than any other consumer health product on the market. When Luna mentions rapamycin or spermidine or urolithin A, she is drawing on the engine's running synthesis of every relevant paper, not on a content brief written six months ago. That is the unfair advantage. This research hub is the public side of it.

How a paper becomes a published analysis

A paper does not appear on this site the day it is indexed in PubMed. The pipeline runs more than a dozen checks first, and then a human review.

The reason for that long chain is that health information is what Google calls "your money or your life" content. Getting it wrong is not an abstract reputation cost. It can affect a real person's choices about their own body. Heaven Health is built to be slower to publish and stricter than the typical wellness site, because the longer time horizon is where trust compounds.

Featured topic clusters

The engine reads across these clusters every week. Each will, over time, develop into its own deep-dive page. For now, follow the links to the relevant compound or protocol hub.

Why a feed of research is the moat — and what we are honest about

Most health apps publish a blog written by a marketing team. Heaven Health publishes a feed driven by a research pipeline that runs whether or not a content writer felt inspired this week. That is the practical difference.

But we want to be careful about the framing. The engine does not "discover cures." It does not "find the secret to immortality." It reads the literature faster than a human can and surfaces what is genuinely new. Most days, the new is incremental. Sometimes — once or twice a quarter — a paper genuinely shifts what we believe. Those are the ones the engine flags hardest and Luna remembers longest.

We also do not publish dosing recommendations for prescription compounds. You will find rapamycin discussed across many research pages because the literature is enormous and important. You will not find a "this is what you should take" instruction. That line — research yes, prescription no — is the one we hold firmly.

The point of reading four thousand papers a day is not to find more things to recommend. It is to find the small number of things actually worth recommending — and to be confident about them.

Adjacent hubs

This hub focuses on per-paper analyses. If you came for the synthesis, you probably want one of these:

• Compounds — one canonical page per molecule, regardless of how many studies have touched it.
• Protocols — structured plans the engine has built from converging evidence.
• Blog — long-form editorial pieces that synthesise across many findings, written for a general audience.
• Longevity — the pillar page that explains the whole landscape.
• Heaven Score — the daily metric Luna uses to translate all of this into one number you actually use.
• Biological age — how the bio-age trackers we discuss in research feed into your dashboard.

How often this page updates

The research pipeline runs every day at 9am Pacific. New analyses appear at /research/{slug} when the medical reviewer signs them off, typically within 24 to 72 hours of the source paper indexing. The pace will look slower than a typical news site and faster than an academic review. That is the point.

If you want the daily output without checking the page, open the Heaven Health app and ask Luna what is new this week. She is reading along with you.

What "new research" actually feels like inside the engine

The phrase "latest longevity research" can give a misleading impression — as though every day brings a breakthrough. The truthful picture is different. Most days the engine reads a few thousand papers and produces a calm summary: three or four interesting confirmations, a dozen incremental refinements, and a long tail of work that adds texture to a known story. Roughly once a month a paper appears that genuinely shifts a question. Roughly once a quarter a paper does that and survives the inevitable second look. Those are the moments the research feed is built to surface fast — and the moments where Luna's protocols and the daily plan in the app meaningfully update.

This rhythm is worth saying out loud because it sets honest expectations. The engine is not racing to publish whatever sounds newsworthy. It is reading the room. A paper that gets a headline somewhere else but does not change the underlying evidence base will appear here calmly, with the necessary caveats, sometimes alongside an earlier paper showing the opposite. That is the discipline. The research feed is built to make you smarter over a year of reading, not louder over a week of reading.

What gets read and what does not

It is also worth being concrete about what the ninety topic clusters cover. The pipeline reads heavily across the hallmarks of aging — genomic instability, epigenetic alterations, loss of proteostasis, deregulated nutrient sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, altered intercellular communication, and the more recent additions to that framework. It reads heavily across the major biomarker categories — lipids and cardiovascular risk, glucose and metabolic flexibility, inflammation and immune cell ratios, hormones across life stages, body composition, fitness markers. It reads heavily across the intervention categories — sleep, nutrition, exercise, supplementation, off-label pharmacology, behavioural change.

What it deliberately reads lightly is the cosmetic-longevity adjacency — most of the skin-treatment, hair-treatment and aesthetics literature, except where there is a clear hallmarks-of-aging connection. We are not building a beauty product. The engine focuses on the systemic biology of aging, not the surface of it.

It also reads cautiously across the supplement-marketing literature. Industry-funded studies are still read, still summarised, and still cited — but flagged. The reader gets to know who funded a piece of research. That single piece of context does a lot of work over time.

Frequently asked, briefly

Who writes the analyses? A research pipeline drafts them; a medical reviewer signs off; a named author byline appears on each page.

Why not show every paper? Most papers do not change what we know. Publishing every one of them would create noise, not value.

Can I suggest a paper? Yes, through the app. If a paper you have read has not yet been picked up, send it to Luna and she will queue it for the next batch.

Is this medical advice? No. This page, and every page on this site, is educational. It will tell you what the literature says. It will not tell you what to do about your own body. That conversation belongs with a clinician who knows you.