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📣 New paper out! "Predicting Survival in Patients with Advanced NSCLC Treated with Atezolizumab Using Pre- and on-Treatment Prognostic Biomarkers"
kinetics-Machine Learning outperformed SOTA for:
👩🔬 Prediction of individual survival
💊 Prediction of phase 3 trial success
Want to know what we do at Inria - Inserm COMPO ?
Have a look at this blog post where I explain success stories of hashtag#mechanistic hashtag#learning to improve clinical oncology.
mathematical-oncology.org/bl…
Sébastien Benzekry retweeted
#ICYMI: A Senescence-Mimicking (Senomimetic) VEGFR TKI Side Effect Primes Tumor Immune Responses via IFN/STING Signaling.
bit.ly/4djIG1u
@eboslab @Sbenzekry @ACS_Research @GeneticsRoswell @RoswellPark
Exciting new postdoc position at @Inria – @Inserm COMPO in sunny Marseille combining single-cell genomics and pharmacodynamics to optimize treatment combinations against pediatric cancer (rhabdomyosarcoma).
jobs.inria.fr/public/classic…
A highly inter-disciplinary project led by the highly talented biologist Dr Laura Broutier @crcl and in collaboration with the fantastic pharmacologist Dr Eddy Pasquier @translateitcrcm @crcm_marseille
#SingleCell #heterogeneity #PKPD #computationalOncology #pediatricCancer
Sébastien Benzekry retweeted
Looking forward to the minisymposium organised by Eunjung Kim on Mathematical model guided cancer treatment. 1st up is friend @SBenzekry presenting, Integrative kinetics and machine learning modeling for prediction of outcome following immunotherapy in lung cancer #SMB2025 #KSMB
Extremely happy to share our latest paper with @EbosLab @RoswellPark in @PLOSCompBiol : Machine-learning and mechanistic modeling of metastatic breast cancer after neoadjuvant treatment.
#mechanisticLearning
journals.plos.org/ploscompbi…
Glad to have contributed to the analysis of the massive research effort and data generated by @EbosLab just published in @MCT_AACR. The results show how #VEGFR #TKI-induced #senescence-mimicking effects modulate #tumor-#immune interactions and response to immunotherapy.
Happy to share our new paper: A senescence-mimicking (senomimetic) VEGFR TKI side-effect primes tumor immune responses via IFN/STING signaling. Amazing effort by an excellent group! @MCT_AACR @ACS_Research @GeneticsRoswell @RoswellPark
aacrjournals.org/mct/article…
Sébastien Benzekry retweeted
Happy to share our new paper: A senescence-mimicking (senomimetic) VEGFR TKI side-effect primes tumor immune responses via IFN/STING signaling. Amazing effort by an excellent group! @MCT_AACR @ACS_Research @GeneticsRoswell @RoswellPark
aacrjournals.org/mct/article…
Sébastien Benzekry retweeted
Replying to @dumebarbolosi
@dumebarbolosi @barlesi @SBenzekry @jo_ciccolini @IsulaCorsica @UnivCorse
@univamu @aphm_actu @crcm_marseille #thepioneerproject
New preprint out! Computational modeling approaches for circulating cell-free DNA in oncology first-authored by the @CancerImmunoAMU funded talented PhD student @Linh_Fe2A co-supervised by myself and Pr Salas
#computational #oncology #cfDNA
hal.science/CRCM/hal-0448168…
When it comes to #preclinical models of #metastasis, @EbosLab is the best-in-class. And now we have together just publicly released the largest #dataset of metastatic development. 251 mice implanted either untreated or pre-surgically treated. zenodo.org/records/10607753
Publication soon to be published with the #mathonco modeling of this uniquely rich data, where we show that not only math modeling can describe but it can also test biological hypotheses and bring valuable biological insight
Sébastien Benzekry retweeted
🗓 Join us on Saturday, the 10th, at 9 am for Session 5 on "Tools for Predictive Oncology"!
Engage with our international speakers @SBenzekry, Denis Lacombe, Annalen Bleckmann, & Maddalena Centani through captivating talks.
Register ➡ swll.to/b9XL9j
#Oncology
@EORTC
Sébastien Benzekry retweeted
Our latest work is out! 📚🧠 It explores the response of brain metastases to radiation and reveals a game-changer for response assessment doi.org/10.1093/noajnl/vdad1… @molab_uclm @EditorNeuro @MetastasisRS @AranaE_MD


















