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Our latest research on #AI of #medicalimaging has just been published. We identified 4 new imaging subtypes of distinct clinical and biological values across three cancer types, through an international collaboration with #stanforduniversity #MDAnderson…lnkd.in/d2fmaMMw

#NSCLC #immunotherapy is evolving, in this #NatureCommunications paper ( lead by Natalie Vokes, Jianjun Zhang, Yanyan Lou, and me), we start to identify patients who benefits from ICI-mono, and who else needs to add chemo, based on…lnkd.in/ggWtqEKD nature.com/articles/s4146…

We are #hiring! Know anyone who might be interested? lnkd.in/dd5BMtDy

timely review by the talent guy in the lab Qasem Al-Tashi ! lnkd.in/gXXSftcc

NEW Research on predicting benefit from immune checkpoint inhibitors in patients with non-small-cell lung #cancer by CT-based ensemble #DeepLearning. Jia Wu Read it here: buff.ly/3IPPHea

Appreciate the insightful comment from awesome researchers on our latest work!

We'd like to thank Drs Nicola Sverzellati and Cristina Marrocchio for sharing their great insights "Deep learning-based radiomics: pacing immunotherapy in lung cancer" and Editor Rupa Sarkar for promoting our work! lnkd.in/gumAJrRh lnkd.in/gYVprE-z

Come and join our 2nd workshop on Computational #mathematics #modeling in Cancer Analysis to be held in conjunction with #MICCAI 2023.  The full manuscript submission deadline is 23:59, Pacific Time, July 10th, 2023. lnkd.in/gWHv6NV6 lnkd.in/gcbBt9Y6

happy to share our recent study on #patterns SwarmDeepSurv, by leveraging #swarmintelligence to advance #deep survival network for prognostic signature. In #radiomics, feature #reproducibility is an important topic, especially in a…lnkd.in/gfCNKfTs lnkd.in/gy9ysX6v

From a new appendix cancer treatment to improved #MultipleMyeloma outcomes to a preventive method for managing #CART cell therapy toxicities to using AI to improve prognostic models, read about our latest advances: bit.ly/3rw9qK1 @JPshen_MD mehmetaltanmd Jing Li

Online now: Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept dlvr.it/T4MYLx

Provocative discussion by Dr. John Heymach MD Anderson Cancer Center #AACR24. Local consolidation therapy (LCT) w/ surgery +/- radiation beneficial in both oligo & polymetastatic disease after completing systemic tx. Systemic tx options important predictors of success. Awaiting RCT data

Jia Wu Now we can predict recurrence risk in resected lung cancer using habitat imaging and ctDNA integration model. The methodology can be applied to metastatic setting, and others. MD Anderson Cancer Center Lauren Averett Byers, MD @esinghimd pubmed.ncbi.nlm.nih.gov/38605064/