Jinxi Xiang

Postdoc at Stanford Medicine
Medical image analysis

[Jinxi Xiang @DerekHsiang]

📩 To apply, send your CV and a brief research statement to Ruijiang Li, Ph.D.
c/o Andrew M. Heider (Li Lab Research Coordinator); email: [email protected]

[Jinxi Xiang @DerekHsiang]

Join our growing team in AI for precision medicine at Stanford! 😀 Multiple positions of postdoctoral researchers who are excited to advance AI-driven, personalized healthcare.

[Eric Topol @EricTopol]

Patients with refractory cancer seeking treatment with engineered T cells (CAR T) are going to China where the cost is considerably less
China $150-300K
US $550-800K
https://t.co/K7uEWE6k9o

[Simons Foundation @SimonsFdn]

During today's #ICM2026 opening ceremonies, the IMU announced the 2026 Fields Medals recipients:

@UChicago's Yu Deng, @stonybrooku's John Pardon, @UofT's Jacob Tsimerman, and Hong Wang of @nyuniversity and @Institut_IHES.

Read more: https://t.co/oJARAI8I8j

[Jinxi Xiang @DerekHsiang]

@hcwww_ Wow! Congrats!

[Jinxi Xiang @DerekHsiang]

3️⃣ nnMIL (Nature BME, in press) — A generalizable multiple instance learning framework for computational pathology

📄 https://t.co/IaDLAnGs8m | 🔗 https://t.co/hDuvC8s0q4
Deep gratitude to my mentor Dr. Ruijiang Li and my collaborators — couldn't have done this without you!

[Jinxi Xiang @DerekHsiang]

Excited to share 3 recent works on multimodal histopathology AI:

1️⃣ MUAPD — A generative foundation model for multimodal histopathology
📄 https://t.co/wIgGsLWZP7 | 🔗 https://t.co/CLiEv8omk4

[Jinxi Xiang @DerekHsiang]

2️⃣ STORM — A multimodal foundation model integrating spatial transcriptomics & histology for biological discovery and clinical prediction
📄 https://t.co/Ffotf4WJrt | 🔗 https://t.co/D5l0kQEmhM

[Jinxi Xiang @DerekHsiang]

GitLab co-founder and Executive Chair Sid Sijbrandij joined geneticist Jacob Stern to discuss how they have used AI, advanced diagnostics, and personalized treatment design in response to Sid’s osteosarcoma diagnosis. https://t.co/QCnDZaHM8g #OpenAIForum

[Jinxi Xiang @DerekHsiang]

I've declined my invitation to serve as Area Chair for NeurIPS 2026. Excluding researchers based on institutional affiliation rather than the merit of their work sets a troubling precedent.

[Jinxi Xiang @DerekHsiang]

@johncumbers thanks for sharing. That’s a Very clear and exciting roadmap

[Jinxi Xiang @DerekHsiang]

@tydsh OpenReview needs a 'rate the reviews' function for the public. Verified accounts should call the shots—if a reviewer gets a low score overall, they get blacklisted for the next ICLR.

[Jinxi Xiang @DerekHsiang]

Honestly, OpenReview really needs a feature where we can rate reviewer comments. Like, any verified account should be able to score them. Then, if a reviewer has a terrible rating, just blacklist them from the next ICLR. #ICLR2026

[Jinxi Xiang @DerekHsiang]

https://t.co/Mhh0cpeqvT

[Jinxi Xiang @DerekHsiang]

@EricTopol @ScienceMagazine impressive slides created from this paper, with notebookLLM

[Eric Topol @EricTopol]

Why we need big time investment in A.I. for accelerating science. New @ScienceMagazine editorial https://t.co/G2mMvHQwhQ

[Stanford Medical Physics @SUMedPhysics]

Our Medical Physics Retreat was on 6/28, at Stanford Cardinal Hall! This inspiring event recharged us and discussions flowed naturally, igniting new ideas in advancing medical physics & radiation oncology.
Thank you to our keynote speaker, Paul De Jean of Precision X-Ray!

[Jinxi Xiang @DerekHsiang]

Our study 𝐌𝐔𝐒𝐊, a vision-language foundation model for clinical oncology, has been featured in a 𝐍��𝐭𝐮𝐫𝐞 𝐂𝐚𝐧𝐜𝐞𝐫 commentary. 🧬🔍

As AI in healthcare evolves, we’re excited about its role in precision oncology, driving better clinical decisions & patient outcomes.💡📊

📖 Read the full Nature Cancer commentary: https://t.co/9W8aOB1fai

📖 Read the original Nature paper: https://t.co/8PgB6xwgQR

#AIinHealthcare 🤖 #DigitalPathology 🔬 #VisionLanguageModels 📸📝 #PrecisionOncology 🎯 #MachineLearning 📊

[Jinxi Xiang @DerekHsiang]

🎗️ On WorldCancerDay, our study is highlighted by NVIDIA. May intelligent computing illuminate the path to a cancer-free world. https://t.co/gHu7YXqN6w ✨ #WorldCancerDay #AIinPrecisionOncology