Until now, physicians using AI in clinic had to assemble the patient’s context themselves. Allergies, comorbidities, medications, prior procedures, copy-pasted in from the chart.
Today we’re announcing a partnership with @CedarsSinai. OpenEvidence now works directly inside Epic, drawing on the patient’s full record and interpreting the medical literature through the lens of that specific patient.
Cedars-Sinai is the first academic health system to deploy patient-aware clinical intelligence at enterprise scale. The clinician asks a complex question in natural language. The answer reflects both the best available evidence and the patient in front of them.
Patient data is never stored after the clinical session or used for any other purpose.
Excited to be speaking at #AMIA2026 tomorrow! Join our hands-on workshop:
CI09: “Don’t Be Afraid of the API”
🗓 Monday, May 18
⏰ 10:30 AM–12:30 PM MT
We’ll explore how LLM APIs can extract structured data from clinical notes, pathology reports, and more.
#CIC#AMIA
Excited to be speaking at #AMIA2026 tomorrow! Join our hands-on workshop:
CI09: “Don’t Be Afraid of the API”
🗓 Monday, May 18
⏰ 10:30 AM–12:30 PM MT
We’ll explore how LLM APIs can extract structured data from clinical notes, pathology reports, and more.
#CIC#AMIA
Stanford just made a $200,000 AI degree free.
No application.
No tuition.
No “elite access”.
Stanford released its actual AI/ML curriculum on YouTube.
Not a PR-friendly intro.
Not “AI for the public”.
This is the real thing.
The same lectures shaping people working on frontier models.
What just became public:
Deep Learning (CS230)
→ https://t.co/DUtL9MO6Y7
Transformers & LLMs (CME295)
→ https://t.co/gN57biwLsE
Language Models from Scratch (CS336)
→ https://t.co/GnH11pPBdW
ML from Human Feedback (CS329H)
→ https://t.co/X9nxEX6PNg
Computer Vision (CS231N)
→ https://t.co/oBxKKWZP22
LLM Evaluation & Scaling
→ https://t.co/1tDpw9ArTq
The uncomfortable truth:
The degree isn’t the scarce asset anymore.
Execution speed is.
Top schools know this.
That’s why they’re publishing the playbook.
👉 Bookmark this.
Comment the first lecture you’ll actually watch.
So excited to see this work published! Grateful to have been part of this team studying PDC proliferations and their prognostic relevance in CMML. #hemePath#CMML#pathX@PennPathLabMed
We’re so excited that this team effort is now published, thoroughly demonstrating that plasmacytoid dendritic cell proliferations in the marrow biopsies is associated with poor prognosis in CMML. https://t.co/BiL6Dyg7f1 #hemepath