Alvaro Köhn-Luque
@AlvaroKohn
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Senior scientist @OCBE_UniOslo, mathematician working on personalized cancer medicine using mechanistic modeling, machine leaning or combinations of both.
Oslo, Noruega
Joined February 2016
I am transitioning from dark to blue skies 🦋 and I will shortly close this account. I hope to see you in the other side 🙌.
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RT @OCBE_UniOslo: OCBE is transitioning from dark to blue skies 🦋 and we will shortly close this account. We hope to see you in the other s….
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Don’t miss this great summary of our latest preprint.
If you are interested in immune cells in tumors and their impact on clinical outcomes, our latest work might interest you: We pose a simple question: how is the abundance of different cell types associated with treatment response and relapse? 1/n.
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RT @BIRS_Math: Leah Edelstein-Keshet (University of British Columbia), Modeling & simulating single cell motility optogenetic experimen….
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RT @VivliCenter: Congratulations to @MyelomaOslo on your public disclosure, “Relapse prediction in multiple myeloma patients treated with i….
medrxiv.org
Multiple myeloma (MM) patients experience repeated cycles of treatment response and relapse, yet despite close monitoring of disease status through M protein measurements, no standard model exists...
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RT @RESCUER2020: Mads Haugen presenting at Lewis-Sigler institute work from his group and RESCUER .@YounessAzimzade @AlvaroKohn @freeges ht….
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RT @christophertape: Excellent review from @mariangelaruss2 @BardelliLab discussing our current understanding of drug-tolerant persister ce….
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RT @Bartomeu_Colom: 'Mechanisms that clear mutations drive field cancerization in mammary tissue'..
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RT @mathoncoblog: Just on time for labor day weekend (for those of you State-side) .@mathoncbro writes about mechanistic learning, the best….
mathematical-oncology.org
The Mathematical Oncology Community Resource
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RT @ara_anderson: Excited to share the fruits of a new collaboration with @AguadeGuim and @ricard_sole on: Modeling tumors as complex ecos….
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RT @OxUniMaths: Oxford Mathematician and Fellow of @StJohnsOx Philip Maini has been awarded the Sylvester Medal by the @royalsociety for hi….
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Don’t miss these remarks of our review paper by the amazing @mathoncbro 🙌 thank you 🙏 @OCBE_UniOslo #mathonco.
This paper has my vote for Most Interesting & Provocative new ideas in "philosophy of modeling" in the last several years:. My summary: 🧵🧵🧵
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RT @NikoMcCarty: 30 Essays to Make You Love Biology. Day 1. "I should have loved biology" by James Somers. "It was only in college, when I….
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RT @StolzBernadette: Great first day at #ECMTB24 including interesting talks on integrating mechanistic models and machine learning in math….
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RT @pejmanshojam31: Attended to the first session „mechanistic learning in mathematical oncology“ organised by @AlvaroKohn. Babis @M3sBioma….
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RT @ecmtb2024: Dear ECMTB2024 participants,. The 13th Edition of the European Conference on Mathematical and Theoretical Biology https://t.….
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RT @CCR_AACR: Read the article: Computational model predicts patient outcomes in Luminal B breast cancer treated with endocrine therapy and….
aacrjournals.org
AbstractPurpose:. Development of a computational biomarker to predict, prior to treatment, the response to CDK4/6 inhibition (CDK4/6i) in combination with endocrine therapy in patients with breast...
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Thanks for highlighting our recent @CCR_AACR paper predicting patient outcomes in breast cancer treated with endocrine therapy and CDK4/6 inhibition. Also really looking forward to read the ctDNA paper of #JasmineFoo et al. And congratulations on the 300 #MathOnco edition!.
This week in #MathOnco 300!. ecological interactions, predictive modeling, CT DNA kinetics, and more. Art: Artist: Mark Chaplain (@mcapellanus), Nikos Sfakianakis, Dimitris Katsaounis, Nicholas Harbour, Thomas Williams. Signup:
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This is a @RESCUER2020 project led by our own @l_schmiester @OCBE_UniOslo and involving @prat_aleix @Vesselinka @freeges @fara_bm @XahTekK @TomasPascualMD #JürgenGeisler etc. We’d be very happy to collaborate with anybody interested in validating or testing our model further.
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Is our #mathonco modeling clinically relevant? Check our brand new paper @CCR_AACR describing a mathematical model that predicts outcomes in breast cancer patients treated with endocrine therapy and cdk4/6 inhibitors.
aacrjournals.org
AbstractPurpose:. Development of a computational biomarker to predict, prior to treatment, the response to CDK4/6 inhibition (CDK4/6i) in combination with endocrine therapy in patients with breast...
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