Ruijiang Li

Associate Professor at Stanford. Work on AI in medical imaging for precision oncology.

[Ruijiang Li @Ruijiang_Li]

Great collaboration with @lx2015 @SUMedPhysics @StanfordRadOnc @StanfordHAI @StanfordCancer #ArtificialInteligence #oncology #immunotherapy

[Ruijiang Li @Ruijiang_Li]

Excited to share our study ‘Biology-guided deep learning predicts prognosis and cancer immunotherapy response’ published in Nature Communications.
Link to paper: https://t.co/GOE6cGk0JV

[Ruijiang Li @Ruijiang_Li]

This approach outperforms traditional end-to-end deep learning models for prognosis prediction in gastric cancer. It further predicts response to immune checkpoint inhibitors and complements clinically approved biomarkers such as PD-L1 and MSI.

[Stanford Cancer Institute @StanfordCancer]

Ruijiang Li, PhD, is creating an AI analysis program to predict patient outcomes and treatment plans based on MRI and CT scans. While vast data and human expertise are needed, the program can supplement doctors' diagnoses and care plans. #cancerresearch #AIinhealthcare

[Ruijiang Li @Ruijiang_Li]

Excited to share our work on a #MachineLearning system for automated detection and classification of tertiary lymphoid structures in histopathology images. Prognostic across gastrointestinal cancers. Relevant for #Immunotherapy.

[JAMA Network Open @JAMANetworkOpen]

A #MachineLearning system for automated detection and classification of tertiary lymphoid structures in whole-slide histopathology images may help accurately prognosticate across 6 gastrointestinal cancers. https://t.co/KuvJXGlrlu

[UroToday.com @urotoday]

Advances in #MachineLearning and imaging analytics for personalized cancer care. Presentation by @Ruijiang_Li @StanfordRadOnc. #RSNA22 written coverage by @rksayyid @UofT on UroToday > https://t.co/k00NlGPBIS @RSNA

[Stanford Radiation Oncology @StanfordRadOnc]

Congratulations to Dr. Quynh-Thu Le and Dr. Max Diehn for receiving funding for their Program Project Grant, “Molecular Strategies to Widen the Therapeutic Index of Radiotherapy.”

[Science Is Strategic @scienceisstrat1]

Most observers dramatically UNDERESTIMATE how good the best Chinese universities have become, especially in STEM education. 4/25

[Science Is Strategic @scienceisstrat1]

China is now a major science & tech superpower, with huge consequences for political, economic & military power.

Below is a 🧵on this dynamic from supercomputing to AI to quantum to green energy.

cc: @erikbryn @paulg @Noahpinion @amcafee @ramez @scmallaby @wolfejosh

[R. Bryan Bell, MD, DDS, FACS, FRCS(Ed) @rbryanbell]

Renowned cancer surgeon Monica Bertagnolli to serve as ⁦@theNCI⁩ director https://t.co/Vc4xCxWAOC

[Stanford Radiation Oncology @StanfordRadOnc]

Ruijiang Li (Communicating PI) and Quynh-Thu Le (Co-PI) awarded an @NIDCR/@NIH Research Project Grant (R01) for their project, "Precision imaging for risk stratification and personalized therapy of oropharyngeal cancer." Congratulations!

[James Zou @james_y_zou]

Super excited to share our new @NatureMedicine paper on #precisioncancer!

We use tumor genomes + EHR of >40K cancer patients to identify 458 mutations that predict how a patient responds to specific cancer drugs
Paper https://t.co/PZzJCBBoS9
Great collab w/ @Roche @genentech 🧵

[Annals of Oncology @Annals_Oncology]

We are happy to announce that the Annals of Oncology Impact Factor has reached an all-time high 📈 at 51.769, ranking the journal #5 out of 245 in the Oncology category!
@myESMO

[Andrea Cercek @AndreaCercek]

Very proud of our study published in @NEJM. 100% clinical complete response with dostarlimab alone in mismatch repair-deficient locally advanced #RectalCancer. No radiation or surgery! @ASCO #ASCO22 @MSKCancerCenter https://t.co/sZypoHBtj7

[Nathan Reticker-Flynn @RetickerFlynn]

Tumors spread to lymph nodes before they metastasize to distant tissues, but for over a century scientists have debated whether this matters. It does. Check out our paper online now @CellCellPress @CellPressNews
https://t.co/WLPnoPtFhN

1/15

[Ruijiang Li @Ruijiang_Li]

Comment of our article in @LancetDigitalH https://t.co/iMptKEMDif

[Ruijiang Li @Ruijiang_Li]

Excited to share our latest work published in @LancetDigitalH: 'Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask #DeepLearning: a retrospective study'. @StanfordHAI @SCIDirector @StanfordMed
https://t.co/3PoF94G1tB

[The Lancet Digital Health @LancetDigitalH]

NEW Research: 'Predicting #peritoneal recurrence and disease-free survival from CT images in #gastric #cancer with multitask #DeepLearning: a retrospective study'. @StanfordRadOnc @ucdavisvetmed @StanfordSurgery
https://t.co/B3OmPs2QS8

[Ash Alizadeh, MD/PhD 🇺🇸 @AshAlizadeh]

Excited to share our new study introducing #EPICSeq out today @NatureBiotech!
https://t.co/o8YY1IH1Sy