Bailey Renger

17 posts

Bailey Renger

Bailey Renger

@BaileyRenger

Formerly @NASA, @Brown_Physics. Founder, BeSound

San Francisco, CA Katılım Ağustos 2025
101 Takip Edilen58 Takipçiler
Max Marchione
Max Marchione@maxmarchione·
@gabriel1 Try our new AI for asking questions. Imo it's better than ChatGPT What screening equipment do you want in the clinic
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gabriel
gabriel@gabriel1·
on top of normal healthcare, for low stakes curiosity, i'd love a cheap clinic with all screening equipment. no doctors and no diagnoses i can book any screening, and they send files that ai reads. and i add it to my health context so i can continue asking chatgpt questions
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Kate Rouch 🛡️
Kate Rouch 🛡️@kate_rouch·
Breast cancer is now the top cause of cancer death for American women ages 20-49. Cases are rising fastest in younger women. Get checked.
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Bailey Renger
Bailey Renger@BaileyRenger·
@maxmarchione Companies are focused on marketing “blood tests” because it’s specific. The value you get from the product is quantified. Whereas “healthcare” is vague. Someone needs to solve root infrastructure problems (i.e. shorten time to results, build own lab) to have a moat.
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Max Marchione
Max Marchione@maxmarchione·
Blood testing is a lousy business. Attractive story, lots of hype, but poor economics. Most companies in the space will fail. But there is a way to succeed if you chart the right path. Here's why: 1) Low barriers to entry. You can now stand up lab testing via APIs in weeks. Most consumer blood testing companies are simply pretty wrappers on Labcorp and Quest. They do not own IP. They compete on sales, branding, and UI while renting the core capability from someone else. That alone is not a durable business. 2. Diagnostics margins are thin and compressing. Commoditization plus lack of proprietary IP drives economics down to the labs. Labcorp and Quest capture the value. Many founders copy the blood-testing piece of Superpower, ignoring the fact that our operating assumption is that there is little long-term margin in blood testing for anyone other than the labs. 3. Even the incumbents are not safe. Machine learning is changing how we measure biology. Once we have large datasets and good models, you don’t need to run every test through a traditional lab. You can infer biomarkers from a face photo, a cheap at-home sensor, or small sample of blood. Theranos was wrong on many things, not the direction of travel. There are already companies running 1,000+ biomarkers off a single drop. Over time, this could threaten Labcorp and Quest as well. So what actually works if you want to build a valuable company in this space? 1. Assume blood tests are a commodity. Begin with the premise that a blood test is no different than an AWS compute unit. Necessary, but not where you make your money. Design your strategy, product, and unit economics with that as the baseline assumption. 2. Don't rely on blood tests alone to acquire customers Selling someone a blood test is harder than it looks. For most people, it is a “nice to have,” not an urgent need. Blood tests are vitamins not painkillers. 3. Build the business downstream of the test. The value is in what happens after the lab result arrives. The longitudinal relationship. The decisions, behaviors, and outcomes you drive for the member. The protocols, interventions, logistics, and software. The winners won’t be “the next Labcorp.” They’ll be the companies that actually change human health. That use labs as a launchpad for a far great mission – preventing disease and enhancing human capability. That's what matters.
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Beff (e/acc)
Beff (e/acc)@beffjezos·
In the age of AI, the greatest danger as a startup isn't tackling a problem that is too technically hard, but rather tackling a problem that is too technically easy
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Beff (e/acc)
Beff (e/acc)@beffjezos·
OH in SF: "Sorry I missed your call, the opportunity cost of my time rn is crazy"
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Bailey Renger
Bailey Renger@BaileyRenger·
Engaging fireside chat with co-founder of Moderna, Bob Langer, on our advisory board, + the creator of Rick and Morty, Dan Harmon discussing “the future” 🤓
Bailey Renger tweet media
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Max Marchione
Max Marchione@maxmarchione·
It's one of those nights again where I've hardly slept in 3 days but don't even want to sleep because life is too exciting right now
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sandra djajic
sandra djajic@TakoTreba·
In the 80s it was garages. In the 2000s it was dorm rooms. What’s the new birthplace of great startups?
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Beff (e/acc)
Beff (e/acc)@beffjezos·
This is next-level. Bryan Johnson will do more for practical longevity research than many multi billion dollar efforts. Commendable effort.
Bryan Johnson@bryan_johnson

I’m going to build an organoid avatar of myself. Thousands of miniature Bryan Johnsons grown on cell culture dishes, each replicating my cellular and organ biology. This living model will let me test the efficacy of supplements, drugs, and nutrition to accelerate safe and measure progress against aging. Details: The potential of stem cell derived organoids is to enable toxicity screenings for drug discovery and complex treatment regiments. This same benefit can be realized for longevity supplementation, nutrition, and Rx protocols. Becoming the most measured person in history allowed my organs to speak, but the drawback is that there’s only one copy of me for testing. This means I can only tweak one or a handful of variables at a time to explore their effects. A single copy of me limits the number of things I can test simultaneously, slowing the speed of progress. These limitations can be resolved by scaling me up using personalized, stem cell-derived organoids. We are currently giving this serious consideration. Here's a rough workflow: A blood sample is taken, some cells are isolated (PBMCs) and reprogrammed into induced pluripotent stem cells (iPSCs). These cells are then propagated in cultures. Using special lab treatments and conditions, they are coaxed to differentiate and grow into mini-organs, or organoids. These organoids carry my exact DNA. Although the reprogramming process erases most epigenetics acquired in my life, bringing the cells back to a newborn-like state, we can think of these organoids as "Baby Bryans" available to test interventions. Organoid function and phenotype can be monitored using computational models, which can extrapolate the organoid's behavior to predict effects on the actual organs in my body. These organoids can be hooked together into one artificial circulation, creating hundreds or thousands of "mini Bryans." These will allow us to test each ingredient and intervention separately, as well as particular combinations. The level of evidence and sophistication of organ-on-chip model has seen rapid progress in the last decade Initial prototypes utilized interconnected 2-D and spheroid "organ-on-chip" cultures to successfully model the metabolism, toxicity, and biodistribution of drugs and their metabolites, including liver-kidney, liver-lung, and liver-brain interactions. The use of induced pluripotent stem cells (iPSCs) coupled with 3D-printed scaffolds to generate spheroids and organoids paved the way for these systems in personalized medicine. This approach enables accurate, personalized, case-by-case predictions for drug interaction, efficacy, and toxicity. These systems can even model systemic disease states, such as blood-brain barrier permeability, neurotoxicity, lung and pancreas cystic fibrosis, cancer metastasis, and responsiveness to chemotherapy. The next iteration of organoids rely on computational models, promising to evolve these systems from modeling extreme toxicity and disease states to the more delicate field of predicting chronic toxicity and harms from drugs in development. This granularity will enable optimization of personal drug and supplement regimens with cellular and molecular level accuracy, a feat normally challenging to track within the complexity of the living body. The field is maturing from merely generating organoids to building in-silico avatars of one's body based on insights collected from cultured organoids. On the pharmaceutical side, these systems can already accelerate discovery by predicting drug candidate toxicity before they transition into expensive clinical trials. On the longevity and personal health side, this means we will soon no longer have to speculatively test interventions and therapies on ourselves based solely on general population data. My organoid avatars will undertake the heavy lifting of detecting and predicting toxicity, harm, and likelihood of efficacy.

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FORTUNE
FORTUNE@FortuneMagazine·
Bailey Renger was interning at NASA when, at 21, she had a cancer scare. Today, Renger, now 26, is launching BeSound, a breast screening ultrasound startup that aims to catch what mammograms miss or insurance won’t cover. trib.al/dZ3umnr
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Fortune MPW
Fortune MPW@FortuneMPW·
Bailey Renger was interning at NASA when, at 21, she had a cancer scare. Today, Renger, now 26, is launching BeSound, a breast screening ultrasound startup that aims to catch what mammograms miss or insurance won’t cover. trib.al/abhRJhv
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