founder of PangolinLab｜AI Eval Platform a Dentist in China；ALL in AI Make HealthcareAI for everyone
Hangzhou
Joined March 2025
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OpenEvidence optimizes the doctor's personalized interaction to the extreme
Introducing Learn, a free, personalized medical education platform from OpenEvidence, built to support trainees and clinicians across their entire careers.
As AI changes how doctors work, it matters just as much that it strengthens how they learn.
Clinicians have made OpenEvidence an everyday tool at the point of care. Now we apply that same technology and those same principles to how doctors learn medicine. Developed with leading medical institutions, certifiers, and educators, Learn brings together a suite of tools built on OpenEvidence so every trainee and clinician gets a tailored, evidence-based learning experience.
To understand how AI medical data is commercialized, you have to look at a company.
Today we reported our financial results for Q3 2026.
See the full earnings release and business highlights: tempus.co/48twxXN
An excellent doctor must first have a mature personality, humanistic care and scientific literacy.
On October 22, Microsoft published MAI-DxO research in Science and open-sourced SDBench. Using multi-agent collaboration, MAI-DxO achieved 83.2% diagnostic accuracy on 304 complex NEJM cases (vs. 36.1% for doctors) and 80.3% on 325 emergency cases (vs. 46.8%).
Vincent Lyu retweeted
Today, Baba raised a $40M Series A.
We give each Medicare member and their family a dedicated team of advocates and behavioral health experts to keep every part of their care moving forward. In a world obsessed with AI personal assistants, it’s never been more important to have expert humans in the loop to go the last mile, particularly in healthcare.
Our advocates have moved mountains for their patients - finding safe housing for the near-homeless, recertifying Medicaid for those about to lose their benefits, and getting financial assistance for people cutting their pills to afford groceries.
In the process, we’ve used AI to scale the impact this special team can have. And to truly teach AI to reason and execute like the best care coordinators, we’ve built the largest learning environment for the type of work that we do everyday.
There is still a lot to do: we’ve served fewer than 1% of the 70 million Americans on Medicare.
Baba does not lack capital or customer demand. Our ability to seize this opportunity is now limited by the capacity of our team. If you’re an exceptional engineer or operator in New York, come build with us: callbaba.com/join.
Our Series A was led by @FirstMarkCap , with @CVSHealth, @valtruis, @generalcatalyst, @geniusventures, and @GroundUpVC investing alongside them.
OpenAI在1月收购Torch，医疗数据公司；4月发布GPT-Rosalind，生命科学模型；10月收购Orchestra Bio，AI走进药物研发。
We’ve acquired Orchestra Bio, a platform that helps biopharma teams coordinate the complex process of drug development.
Together, we’ll build on Rosalind, our AI models and tools for life sciences research, to streamline those operations and help new treatments reach patients sooner.
Welcome @ashokaraj_ and team!
openai.com/index/openai-to-a…
OpenAI acquired Torch, a healthcare data company, in January; launched GPT-Rosalind, a life sciences model, in April; and acquired Orchestra Bio in October, marking AI's entry into drug development.
We’ve acquired Orchestra Bio, a platform that helps biopharma teams coordinate the complex process of drug development.
Together, we’ll build on Rosalind, our AI models and tools for life sciences research, to streamline those operations and help new treatments reach patients sooner.
Welcome @ashokaraj_ and team!
openai.com/index/openai-to-a…
sad to hear from you. AI company is becoming a giant monster to be a Entrance, encroaching on the medical and health market
Incredibly, hospitals are now paying for AI companies to disrupt them. 🤦♂️
Patients linking their MyChart accounts to @OpenAI's ChatGPT rose more than 7,000% in a single month at 69-hospital @AdvocateHealth, its CIO Bobbie Byrne told @Becker’sHR.
Patients set this up themselves in ChatGPT, so that the AI can explain their lab results, scans, and doctors’ notes. You know, instead of one of Advocate's doctors.
To add insult to disruption, every time a patient asks ChatGPT a question, Advocate’s Epic system has to look up and send the records and pay for the computing resources that make that happen. AND — brace yourself — Federal law says Advocate can't charge patients, or their apps, for that access to the patient's own records.
So a health system is paying for a competitor’s access to its own patients’ records. The competitor takes away the followup visit, and the healthcare system pays for that to happen — both in lost revenue and in increased computing costs.
That’s Interpretation Migration, subsidized by the disruptee. buff.ly/DlyODMb #DrYou #InterpretationMigration #Disruption
On October 15, JAMA published a study on the real use of OpenEvidence: From January 2024 to June 2026, about 952,000 American clinical professionals submitted a total of 271 million queries. Among inquiries, treatment and management accounted for 33.1%, and diagnosis for 13.9%.
Why is there no Ant Afu in the United States and No OpenEvidence in China?
Clinicians bring OpenEvidence the question that matters most once a diagnosis is made: what to do next for this patient.
New in @JAMA_current, from researchers at Harvard Medical School and OpenEvidence, including our CMO @TravisZack2: treatment and management questions outnumbered diagnosis questions more than two to one.
That should change how clinical AI gets tested. Most evaluations still grade diagnosis with board-style vignettes that have one right answer. Real treatment questions rarely do. They depend on this patient's kidneys and on the trial that changed practice last spring. That is the test we want to be held to.
Physicians also reached well beyond their own fields. ER doctors asked about topics outside emergency medicine 88% of the time. Medicine is wider than any one specialty, and good clinicians check before they act.
Baba's website is great. Everyone should have a look! It clearly and intuitively reflects the dilemma of medical care! And baba's distinctive demand response plan
@BabaHQ
Everyone’s chatbot can book a doctor’s appointment.
The real test is whether you can earn the trust of a Spanish-speaking diabetic woman, walk her through a Medicaid application while finding her secure housing, and coach her into choosing a 12oz (instead of 16oz) soda along the way.
Today we’re sharing BabaBench, a benchmark measuring how frontier models perform the real work of healthcare coordination. Our synthetic worlds are built from annotations by Baba’s in-house team of hundreds of expert doctors, therapists, nurses, and social workers.
Turns out, AI alone isn’t ready to replace human care coordination.
huge achievement. Interesting AI Agent evaluation
Everyone’s chatbot can book a doctor’s appointment.
The real test is whether you can earn the trust of a Spanish-speaking diabetic woman, walk her through a Medicaid application while finding her secure housing, and coach her into choosing a 12oz (instead of 16oz) soda along the way.
Today we’re sharing BabaBench, a benchmark measuring how frontier models perform the real work of healthcare coordination. Our synthetic worlds are built from annotations by Baba’s in-house team of hundreds of expert doctors, therapists, nurses, and social workers.
Turns out, AI alone isn’t ready to replace human care coordination.
OpenEvidence（OE）以外界合作为核心扩张路径：个人端免费服务超110万美国临床医生；企业端与Mount Sinai、Cedars-Sinai、Penn Medicine、NewYork-Presbyterian、Northwestern、Johns Hopkins、MSK、Sutter、AdventHealth、波士顿儿童医院、UTMB等十余家顶尖医疗系统/大学深度合作。
Johns Hopkins established the model for American medical education more than a century ago. Today @HopkinsMedicine and OpenEvidence announced a collaboration to define what that education should look like in the AI era, and to ground clinical care in the latest evidence.
As AI learns to synthesize the world's medical knowledge in seconds, the clinician's role moves toward clinical judgment, first-principles reasoning, and the human work of caring for patients. The education model Johns Hopkins and OpenEvidence will design builds on those foundations, with a deeper grounding in pathophysiology and evidence-based medicine. Knowing why an ACE inhibitor works is understanding a physician carries through an entire career.
Together we'll also build human-first AI that puts the best available evidence in the context of each patient's medical history and Johns Hopkins' best practices, so clinicians can reason through that information faster and make the best decision for their patient.
Sanjay Desai, Vice Dean for Education at Johns Hopkins Medicine, says AI "invites us back to the bedside."
For the educators here: which skills do you want every trainee to keep sharp?
这种现象可能在医学，尤其是内科，会越来越普遍。学生包括当年的老师自己可能学到的都是机械的诊疗方案、常规开方，AI却能突破多个专科的知识边界，提供更加综合全面、更有循证依据的完善诊断。
最近跟几个在国内985大学当老师的朋友聊，他们都说，现在真的不太情愿手把手指导研究生干活了，用AI做科研省事又省心，教研究生教半天一堆问题，有的时候还有各种情绪，想想何必呢？为难自己，为难学生。
我的第一反应是心疼这一波儿读研的学生们，没有了导师研究品位和经验的传递，没有了手把手指导，在科研上可能要走一些弯路了。
而且如果老师们都这样想这样做，那陶哲轩所说的学术共同体的建设，日后也会越来越松散了，学术经验的传承也会成问题。
但转念一想，当学生们没有了老师们手把手的指导，其实也更自由了，真正热爱学术的会跟AI学，跟网上最好的资源学，而那些混个文凭的，本来也没必要学，用AI做点自己感兴趣的事，好像也挺好。
那问题来了，为什么这些孩子还要再读研究生呢？只是为了个学位吗？学位在AI加速的今天还有意义吗？
this is a tremendoous achievement in the field of HealthcareAI in China. It is different from the way in USA. I am looking forward to the future of AntAfu!
By 2030, most Americans will access healthcare neither by digging through insurance network directories, nor through Google search, nor via a primary care doc, nor through some bolt on thing your employer bought. Most people will start with chat.
Chat will have your medical records and insurance as context. Chat will answer your questions, find appropriate doctors, show prices, and schedule appointments and lab tests. Handoffs will be seamless and your doctors will always receive your full medical records from chat.
This will get more powerful as FDA permits AI to take low risk medical actions like prescribing or refilling certain drugs and making certain referrals.
Ant is testing a version of this in Guangzhou - screenshots below.
People who want to do things the old way will be able to do so. But most people will pick chat. Chat is an important part of the future of healthcare in America, like it or not.
Unlike Benchmark, which was based on simulated cases in the past, this prospective study introduces AI into real outpatient scenarios.
Before the official consultation, the patient first conducts a text conversation with AMIE.
Today @TheLancet published our AMIE study with @BIDMC_Medicine, the first prospective study of patient-facing conversational diagnostics in a real clinic.
AMIE is a research system people can chat with before doctors appointments. Testing AMIE outside the lab with real urgent care patients showed how technology can help gather medical histories safely. Clinicians reported that the summaries helped them prepare for visits in 75% of cases and influenced their approach to care in more than half. AMIE’s differential diagnoses also matched the doctors’ final diagnoses 90% of the time giving clinicians more time to focus on patient care.
It’s Google’s first-ever paper in The Lancet’s main journal!
wanderful！this is what patient need
Quick plug for General Medicine, the company my husband has been helping build for the last 3 years (and that just raised their Series B led by a16z).
When they were first getting started, I’ll admit that it took me a while to understand why they were so obsessed with price transparency in healthcare. It wasn’t until I used the product that it really clicked for me. In the US, most of us just accept that we can’t know ahead of time what care is going to cost, even though we would never accept that level of uncertainty for any other purchase. But it doesn’t have to be that way!
They’ve built a healthcare store that provides upfront cash and insurance prices for any type of care: prescriptions, labs, imaging, generalist and specialist visits, virtual and in-person. I’ve gotten truly excellent care through them, and you should give it a try! generalmedicine.co
Great, it is indeed Utah's support policy. I hope we can deeply discuss whether AI will replace dermatologists.
On September 15, OpenEvidence and Penn Medicine officially announced their global cooperation.
The scale of cooperation is quite large:
Seven hospitals and more than 10,000 clinicians of Penn Medicine will receive clinical decision-making support from OpenEvidence
OpenEvidence is coming to @PennMedicine.
The partnership will bring OpenEvidence to clinicians across Penn Medicine and expand access through the Botswana-UPenn Partnership.
Our goal is simple: put the best available medical evidence within reach of more clinicians, wherever they practice. Read full announcement:
openevidence.com/announcemen…
