Bryan Kyritz (@kyritzb) header
Bryan Kyritz (@kyritzb) profile picture

CTO @Jori_health Building the worlds best ai copilot for oncologists

Hoboken, NJ
Joined December 2021
Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)Photo by Bryan Kyritz (@kyritzb)
Precision medicine can’t scale with today’s workflows. Data is growing exponentially. But human time isn’t. At @jori_health, we built a multi-agent system for tumor boards. They think together. Learn together. Act fast. 40 hrs of human work → 5 mins. Every run makes them smarter. Every oncologist shapes the system. Agents as infra. This is how precision medicine scales to everyone.
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They're calling it the greatest opening paragraph of any recent oncology article
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Anyone wanna get me a maxxed out macbook? 👍 Tired of my codex bricking my macbook because it decided to open 20 chrome tabs
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Bryan Kyritz retweeted
R01s are the crown jewels of cancer research. Here's a map of all 3,406 NCI R01 award records in FY26, clustered by cancer type (full dataset in 🧵) Just 4 cancer types account for two-thirds. Another 16.2% maps to foundational biology. Todays bets shape tomorrow's cancer breakthroughs. Grateful to the PIs making them possible 🎗️ - - - - - Source: NIH RePORTER via @jori_health - - - - -
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Bryan Kyritz retweeted
Eric Lefkofsky co-founded Groupon. In 2014 his wife, Liz, was diagnosed with breast cancer, and he was struck by how little data shaped her care. A year later he founded Tempus. Today it reported $411.5 million in revenue for a single quarter. The third quarter of 2026: revenue up 23%, oncology test volume up 32%, and about 12,000 tests for minimal residual disease, which look for traces of cancer in the blood after treatment, up 300%. Adjusted EBITDA went from $1.5 million a year ago to $25.6 million. Full-year guidance is now $1.60 to $1.605 billion. What I find most interesting is how the model works. Every tumor Tempus sequences helps a patient today and also adds to a library that now holds 600 petabytes of clinical and molecular data. Drug companies license that data for discovery and development, with more than $550 million in data bookings so far this year, including a new deal with Bristol Myers Squibb. Each test makes the next diagnosis, and the next drug, a little smarter. I also came to medicine from telecom and the internet, after Viatel, Jazztel and Fon. What surprised me most is how long everything takes. Tempus spent years losing money while it built that library, before it became an advantage. Eric and his team stuck with it, and patients are better off for it. At Certuma we're learning the same lesson in medical AI. Real clinical cases are the foundation, and you build it one patient at a time. The most valuable health data is the kind collected while helping someone.
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Bryan Kyritz retweeted
Ever wonder what cancer care actually costs? Here are my real numbers from 2026 so far. ---- 👉 Insurance: $1,240/mo for me, my wife and kid. No subsidy. ~$15K a year. 👉 Out-of-pocket max: $10,600. Hit it. ---- 👉 Radiation planning: $7,078 billed, $809 insurance, $347 me 👉 CT scan: $6,376 billed, $635 insurance, $0 me 👉 Nerve block (took 5 minutes): $3,430 billed, $1,096 insurance, $0 me 👉 Lorbrena, 1 month (30 pills): $67,292 retail, $19,916 insurance, $0 for me thanks to manufacturer copay assistance I still don't understand. 🚨 Total billed for my care this year: $969,804 🚨 ---- Almost a million dollars. Nobody actually paid that. Nobody can tell you what any of it really costs, including the people sending the bills. In total, I'll end up paying ~$25k for all care in 2026 for myself and my family (almost all of it for me).
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Records retrivals (shouldn’t be the patient’s responsibility), and piecing the patients whole journey amongst a bunch of different providers, copay assistance eligibility And leave the medicine and patient interaction to the dr
WHO says the world will be short about 11 million health workers by 2030, mostly where there are already too few it's coming either way. how do we get ready? where would AI help a small clinic most: reading scans, triage, or the notes?
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A person fighting cancer should not also have to become the project manager of their own medical records. We have the tools to help people; we just need to make them widely accessible, and we will.
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Bryan Kyritz retweeted
If you're only asking ChatGPT/Claude/Grok about your cancer, you're getting the same answers as everyone else. AI only knows what's public. The stuff that matters most for YOUR care isn't: what your doctor said at the last visit, when a symptom started, what the trial nurse told you on the phone. Fix: give your AI a notebook. I use Notion, but a Google Doc works. The 3 you can start with: 👉 Symptoms log: what, when it started, when it stopped, pain 1-10 👉 Visit notes: what each doctor said, plus your questions for next time 👉 Options: every treatment or trial anyone has mentioned, with who said it Tell your AI to write to it and read from it before answering anything. Now it's working from YOUR info, not just the internet's. It can spot that a new symptom started the same week a med changed, or that two doctors told you different things. Each doctor sees their own slice. Your AI sees all of it. I'm trying my best to post things that are helpful for others. If this is that for you, gimme that dopamine re-enforcement and reply and lmk!
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Hospitals using AI are seeing better healthcare outcomes. In 2023, health systems with high and low AI use had the same death rate: ~1,600 per 100,000 patients. By 2026, the systems using AI the most dropped to ~1,000 deaths per 100,000. That's a decline of nearly 40% in just 3 years. Meanwhile, hospitals with lower AI adoption have seen significantly smaller improvements. The gap in patient outcomes is widening as AI adoption accelerates. AI is rapidly transforming healthcare.
🤝 Paid partnership
Today, we’re introducing the next chapter of Concurrence and the world’s greatest leap toward Superintelligent Care. When I was 13 I lost my mom to cancer that should’ve been caught earlier. We’re building a system that sees every patient’s future in time to change the outcome
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Resurfacing the entirely different type of cycle that one of my patients had to go through for us to obtain prior authorization and for him to coordinate drug delivery
Unpopular opinion: the hardest part of cancer isn't the cancer. It's the unpaid admin job the healthcare system hands you. Here's all the shit I did across 27 months so far: 64 "please fill out your history" questionnaires 80 calls just to get pills delivered 150+ appointments and calls 79 days in a waiting room 23 CT, MRI and PET scans 209 scheduling messages 5 radiation treatments 34 full blood panels 5,500+ cancer pills 1,360 lab results 1 thoracentesis 2 biopsies The phone trees, the endless redundant forms, the reschedules and the "we never received that order" are what grind you down. And I'm someone who's good at this stuff. Imagine doing it sick, alone, or without the time. If someone you love is in treatment, "let me know if you need anything" is nice. "I'll make the pharmacy call this week" is better.
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I understand now 😭😭
Unpopular opinion: the hardest part of cancer isn't the cancer. It's the unpaid admin job the healthcare system hands you. Here's all the shit I did across 27 months so far: 64 "please fill out your history" questionnaires 80 calls just to get pills delivered 150+ appointments and calls 79 days in a waiting room 23 CT, MRI and PET scans 209 scheduling messages 5 radiation treatments 34 full blood panels 5,500+ cancer pills 1,360 lab results 1 thoracentesis 2 biopsies The phone trees, the endless redundant forms, the reschedules and the "we never received that order" are what grind you down. And I'm someone who's good at this stuff. Imagine doing it sick, alone, or without the time. If someone you love is in treatment, "let me know if you need anything" is nice. "I'll make the pharmacy call this week" is better.
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Bryan Kyritz retweeted
It's time for personal agents in healthcare. Our system is fragmented and runs on clunky legacy software. That's exactly why agents that can navigate those systems on our behalf could make such an impact. Karan, who leads health AI at OpenAI, calls it "absolutely ripe for agents and computer use" and thinks many of the barriers between patients, clinicians, and their data will dissolve. I agree. Super inspiring convo with my friend @thekaransinghal on how AI can raise both the floor and the ceiling of human health.
More than 300 million people use ChatGPT for health and wellness questions each week. OpenAI’s Karan Singhal thinks that’s only the beginning. Karan joins a16z's Jay Rughani to explain how OpenAI is building health intelligence, the advantages of using generalized models for health applications, how AI could lower the cost of healthcare, and more. 00:00 Intro 01:00 How OpenAI is building health intelligence 07:57 A doctor in your pocket 14:20 Creating trust with users 19:44 Medical consensus and its 5–17 year lag 28:03 AI for mental health 30:59 How AI enables the healthcare ecosystem 38:21 A "move 37" for health 43:39 Driving down the cost of care 50:27 Procedural care and what's next YouTube: youtu.be/9n0MI4D7TCM @thekaransinghal @JayRughani
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Bryan Kyritz retweeted
It would be interesting to see the breakdown between newly awarded grants and ongoing grants awarded in previous fiscal years. @NIH
In one of the hardest NCI funding cycles in decades, these institutions remained R01 powerhouses Full FY'26 dataset in 🧵 below MD Anderson: 131 R01s (55% of portfolio), UCSF: 91, , Penn: 83 (highest R01 %), MSK: 76 (37% R01s but heavy on K-awards) Across the top 20 institutions: 1,223 R01 records, which is ~36% of the national total Huge congrats to the PIs, labs & research teams keeping cancer discovery moving forward🎗️ - - - - - Source: NIH RePORTER via @Jori_health - - - - -
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Replying to @OSUCCC_James
In one of the hardest NCI funding cycles in decades, these institutions remained R01 powerhouses Full FY'26 dataset in 🧵 below MD Anderson: 131 R01s (55% of portfolio), UCSF: 91, , Penn: 83 (highest R01 %), MSK: 76 (37% R01s but heavy on K-awards) Across the top 20 institutions: 1,223 R01 records, which is ~36% of the national total Huge congrats to the PIs, labs & research teams keeping cancer discovery moving forward🎗️ - - - - - Source: NIH RePORTER via @Jori_health - - - - -
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Bryan Kyritz retweeted
Leaders of R01 Fundung. 👇🏼👇🏼
In one of the hardest NCI funding cycles in decades, these institutions remained R01 powerhouses Full FY'26 dataset in 🧵 below MD Anderson: 131 R01s (55% of portfolio), UCSF: 91, , Penn: 83 (highest R01 %), MSK: 76 (37% R01s but heavy on K-awards) Across the top 20 institutions: 1,223 R01 records, which is ~36% of the national total Huge congrats to the PIs, labs & research teams keeping cancer discovery moving forward🎗️ - - - - - Source: NIH RePORTER via @Jori_health - - - - -
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This is a fascinating graph. Interesting to see the R01-to-K ratios at some of these places. I’d also be curious to see funding RATES. I.e. percent of grants funded vs submitted at these institutions.
In one of the hardest NCI funding cycles in decades, these institutions remained R01 powerhouses Full FY'26 dataset in 🧵 below MD Anderson: 131 R01s (55% of portfolio), UCSF: 91, , Penn: 83 (highest R01 %), MSK: 76 (37% R01s but heavy on K-awards) Across the top 20 institutions: 1,223 R01 records, which is ~36% of the national total Huge congrats to the PIs, labs & research teams keeping cancer discovery moving forward🎗️ - - - - - Source: NIH RePORTER via @Jori_health - - - - -
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Bryan Kyritz retweeted
In one of the hardest NCI funding cycles in decades, these institutions remained R01 powerhouses Full FY'26 dataset in 🧵 below MD Anderson: 131 R01s (55% of portfolio), UCSF: 91, , Penn: 83 (highest R01 %), MSK: 76 (37% R01s but heavy on K-awards) Across the top 20 institutions: 1,223 R01 records, which is ~36% of the national total Huge congrats to the PIs, labs & research teams keeping cancer discovery moving forward🎗️ - - - - - Source: NIH RePORTER via @Jori_health - - - - -
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Bryan Kyritz retweeted
Prelim ESMO abstract drops are already showing where the action is.. GI owns volume, Lung is prominent on late breakers. Presidential Symposium this year spans melanoma, lung, biliary tract, and endometrial. Field's highest-impact data is spread across mRNA vaccines, bispecifics, ADCs & targeted combos. Full ESMO map coming as the abstracts drop. - - - - - Plot Source: @Jori_health - - - - -
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Bryan Kyritz retweeted
I had a very romantic idea of what oncologists actually do all day. Ever since my Dad got cancer, I’ve been fascinated by oncology. He's fortunate to have a great onco Soon after, I read Emperor of All Maladies & this image became almost mythical Over the past year, I started spending a LOT of time shadowing oncos at community clinics & NCI giants. Stuff I witness horrifies me. My fantasy is now maybe ~30% true Oncos are forced engage with entities that have perfected the art of treating them like sh*t. Numbers are brutal: ▪️96% say prior auth delays treatment ▪️80% say it has caused disease progression ACCC recently gave this a name: administrative toxicity Welcome to modern day cancer care.. Put brilliant minds through 15 years of training. Then surround them with mind-numbing work - - - - - Plot Source: @Jori_health - - - - -
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