Olivier Aubert
@olivieraubert_
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Nephrologist, M.D @hopital_necker; PhD in biostatistics/epidemiology/machine learning
Paris, France
Joined March 2016
@ERAkidney what a great CME 9 at #ERA25 on 🚀Artificial Intelligence for Nephrologists🚀 #BeyondNephrology #ML #AI 🤖 Chairs: Claudia Torino & Olivier Aubert (@olivieraubert_) Speakers 🗣️🗣️🗣️ Valentin Goutadier (@VGoutadier); Len Usvyat & Pierpaolo Maio 👇 Full Treadtorial 👇
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Pr Legendre, first winner of the R Küss prize of the @SFT_Francophone. Incredible opening session in Marseillle. @ESOTtransplant @CIRI_Bcell_lab
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Excited to announce our @ParisTxGroup and @NeckerNephroPed participation on "Challenges and Scientific Advancements in Biomarkers for Pediatric Transplantation"! In partnership with @IPTA_Transplant, we're working alongside @ESOTtransplant to tackle challenges in pediatric care!
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Hi everyone! Check out the July issue featuring as cover the work from @Esteban_CG_ @AlexandreLoupy @olivieraubert_ et al describing the use of NGS in kidney transplant biopsies to identify molecular signatures of rejection👉 https://t.co/3RRCK1GN3v
@ESOTtransplant @ParisTxGroup
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The @Transpl_Int Monthly Issue is here, check it out: https://t.co/XimQLRkbJJ Featuring the cover article work from Esteban Cortes Garcia, @olivieraubert_ @AlexandreLoupy @ParisTxGroup @OriolBestard and many more! Congratulations on the fantastic collaboration! @ESOTtransplant
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Greffe rénale : un consortium de chercheurs coordonné par le Pr Alexandre Loupy et @olivieraubert_ a mis en évidence l’intérêt de la « biopsie liquide » pour mieux prévenir le rejet. Explications dans @LaCroix
https://t.co/JvccxQv66h
@Renalooo @FranceRein @GreffedeVie
la-croix.com
Une étude coordonnée par des chercheurs français vient de mettre en évidence l’intérêt du procédé de « biopsie liquide » pour mieux prédire et, ainsi, mieux prévenir le rejet de la greffe de rein....
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Une étude vient de démontrer que la biopsie liquide présente un intérêt majeur pour prédire le rejet de la #GreffeRénale 👉 Elle permet d'éviter les biopsies inutiles et invasives tout en détectant les rejets plus rapidement ➡ https://t.co/L2KC97QYgt
@hopital_necker
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@CindyUrsuleD @brousse_romain @Raynaud_Maths @ElisabetVl @AngePagliazzi @GGuptaMD @realdhirenkumar @TransplantPulse @julien_hogan @D_M_Dadhania @mnaesens @raja_dandamudi @Vikas_R_D @DanyAnglicheau @AlexandreLoupy and our institutions and partners @APHP @INSERM @univ_paris_cite @OrganX @SFT_Francophone @SFTJuniors @ESOTtransplant @AST_info @ttsorg @ISNkidneycare @ERAkidney @Fondation_BS @CareDx
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🙏🙏🙏🙏thank you to all people involved in this study @CindyUrsuleD @brousse_romain @Raynaud_Maths @ElisabetVl @AngePagliazzi @GGuptaMD @realdhirenkumar @TransplantPulse @julien_hogan @D_M_Dadhania @mnaesens @raja_dandamudi @Vikas_R_D @DanyAnglicheau @AlexandreLoupy
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Let's celebrate this advancement in transplantation research that promises to improve outcomes and quality of life for kidney transplant patients globally! 🌍💙 #KidneyTransplant #Healthcare #TransplantResearch #Innovation #LiquidBiopsy
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The analysis revealed that adding dd-cfDNA to existing monitoring models improves the detection of both clinical and subclinical rejections, allowing for earlier and more effective interventions. #PatientCare
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By integrating dd-cfDNA into a multimodal prediction algorithm, researchers can non-invasively determine the probability of organ rejection for each patient. This approach could reduce the need for invasive graft biopsies
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Conducted by an international team, the study involved 2,882 kidney transplant recipients from 14 centers in Europe and the US. The findings show dd-cfDNA levels strongly correlate with various types of transplant rejection, improving detection accuracy. #TransplantCare
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🌟Exciting news in kidney transplant care! Our study published in @NatureMedicine today and presented at the #ATC2024Philly highlights the potential of dd-cfDNA for detecting kidney transplant rejection. This non-invasive method offers enhanced early detection. #KidneyTransplant
Now at #ATC2024Philly : A prospective observational study including 2,882 kidney allograft recipients from 14 centers in Europe and the US shows that cell-free DNA can be used to detect kidney allograft rejection @AlexandreLoupy @olivieraubert
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Thank you @CDudreuilh and @DMoutzouris for this invitation. It was a pleasure to give this key not speech at the Guy’s Hospital Kidney Transplantation Symposium and share with you our results on #cfDNA and #iBox. Congratulations for the organization and to speakers!
And to finish Dr Olivier Aubert @olivieraubert_ from @ParisTxGroup delivering an enlightening key note speech on difference between AI, machine learning and deep learning and its applications to transplantation using cell free DNA and Ibox !
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Thrilled to generate perspectives in sciences, collaborations, and to design research projects in organ transplantation #PITOR meeting with @AlexandreLoupy @olivieraubert_ @ParisTxGroot @DanyAnglicheau @Eric_Vibert and many other transplant experts !!
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Published today! @CPathInstitute and @ParisTxGroup report the successful Qualification Opinion for #iBOX by @EMA_News "Qualifying a Novel Clinical Trial Endpoint (iBOX) Predictive of Long-Term Kidney Transplant Outcomes" @helantera @olivieraubert_ @Transpl_Int @ESOTtransplant
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A #masterclass talk about molecular diagnosis and Banff consensus by @AlexandreLoupy at ESOT now at plenary room! Come join us! 🫡 @ESOTtransplant @mmengelUofA @KimSolez @CandiceRoufosse @olivieraubert_ @drAntoineRoux @ParisTxGroup
#ESOTcongress
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