General Medicine has raised $120M in Series B financing led by @a16z. We’re building the healthcare store: a place where customers can search, compare, and buy care, see prices before deciding, and get guidance from a licensed clinician. Today, the store includes more than 2,900 products and services across medications, labs, telehealth, specialist e-consults, and select in-person visits and procedures. This funding will help us expand the store into more categories of care for customers nationwide. Come shop for your healthcare: generalmedicine.co

@dylanmcguir3 and I just raised a $7.5M pre-seed led by @a16z to build a robotic surgeon @alephsurgery Much of the early investment in Physical AI has focused on industries where labor is relatively abundant and low-cost. We believe the biggest opportunities to change the world lie at the opposite end of the spectrum. Surgery is among the most valuable forms of labor on the planet, but it's far too scarce and expensive - due to an exceptionally long training pipeline and highly concentrated expertise. We’re building the first surgeon that scales: one system that can acquire, refine, and transfer surgical skills across millions of procedures. v1 is already learning to perform surgical tasks autonomously from demonstrations, and improve from its own experience. Lots of great folks behind us! @BoxGroup, Reveille VC, Constellation, @forward_deploy, @Valkyrie_vc, @DiscipulusVent, @maniacvc + more

It was surreal to chat with Gloria Steinem in her living room!!!!! Thank you @karinklein for making a girl’s dream come true.

I'm a cardiologist. I've spent twenty years as the person patients trust to interpret their bodies. And I need to tell you something that most physicians won't say out loud: AI is about to change the power dynamic between you and your doctor. Forever. Four days ago, OpenAI's o3 model diagnosed 18 children with rare diseases that the best human specialists at Boston Children's Hospital couldn't solve — some after nearly twenty years of searching. Published in the New England Journal of Medicine. Two weeks ago, WashU researchers proved that nine routine blood markers can calculate your biological age — and predict cancer risk years before any tumor forms. A free calculator. Available to anyone. Last month, AI-enhanced coronary CT angiography detected inflamed arteries in patients whose standard stress tests said "normal." Patients who would have gone home reassured and wrong. The pattern is unmistakable. The tools that used to require a specialist, a referral, a three-month wait, and a $400 copay are migrating into your phone, your bloodwork portal, and your own hands. And I'm watching something in my practice I never expected. Patients are walking in more informed than some of the residents I trained. They've run their PhenoAge score. They know their ApoB. They've read the study about Lp(a) before I've had time to bring it up. They come with questions so specific that the conversation starts at a level it took me years of training to reach. This used to threaten physicians. It shouldn't. It should liberate us. Because here's the truth about the old model: a 15-minute appointment where your doctor runs a basic metabolic panel, glances at the numbers, says "looks fine," and sends you home — that model was never good enough. It was just all we had. It missed 75% of future heart attacks. It caught cancer late. It told women with microvascular disease they had anxiety. It filed children with rare diseases as "unsolvable." AI doesn't replace the physician. I've said this before and I mean it — the human moment, the clinical judgment, the hand on the shoulder when the diagnosis lands — that's irreplaceable. But AI does something the old model never could: it gives you the ability to see inside your own biology with a depth and speed that was impossible a decade ago. To track your own numbers. To calculate your own biological age. To bring data to your doctor that elevates the conversation from "am I sick?" to "where exactly am I heading, and what do we do about it?" The patient who walks in with their ApoB, their Lp(a), their hsCRP, their PhenoAge calculation, and a list of questions from the latest research — that patient doesn't threaten me. That patient is the easiest person in my practice to keep alive. Because they've already done the one thing most patients never do: they stopped waiting for permission to understand their own body. I went into medicine because I wanted to help people live longer. What I've learned is that the patients who live longest are the ones who took ownership — not of my job, but of their own data, their own questions, and their own decisions. The tools are here. The research is published. The calculators are free. The blood tests cost less than a dinner out. You don't need to wait for your annual physical to find out what's happening inside you. You don't need permission to understand your own biology. And you don't need to accept "looks fine" from anyone — including me — when the science offers a deeper answer. The revolution isn't coming. It's in your pocket. In your patient portal. In the published studies you can read yourself. The only question left is whether you'll use it — or keep waiting for someone to tell you it's time. Your body. Your data. Your life. Take ownership. Your future self is counting on it.

If you’re visiting for a very large sporting event & you happen to discover RANCH while you’re here… pls pack it in your CHECKED BAG on the way home. Thank you.

Telepatia has raised $42 million, including a $33 million Series A led by a16z. My father’s nickname was Telepatia. He was a doctor who passed away at 58 from a preventable cause. A few days after his death, ChatGPT launched. My first thought was that an AI Doctor would have saved his life as a patient, and that he would have loved using one as a doctor. So we built it: an AI Doctor for doctors, by doctors. Telepatia's AI Doctor is live in more than 25 public and private health institutions, home to more than 100,000 doctors and nurses throughout Latin America 🇧🇷🇨🇴🇲🇽🇨🇱🇦🇷 We're building an AI Doctor and our goal is to bring Latin America its first Nobel Prize in Medicine since 1984.