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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OCBE is transitioning from dark to blue skies 🦋 and we will shortly close this account. We hope to see you in the other side 🙌
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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: https://t.co/1dMjV63utd. 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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Leah Edelstein-Keshet (University of British Columbia), Modeling & simulating single cell motility optogenetic experiments
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Congratulations to @MyelomaOslo on your public disclosure, “Relapse prediction in multiple myeloma patients treated with isatuximab, carfilzomib, and dexamethasone.” We’re proud to facilitate your access to data #ClinicalResearch
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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Mads Haugen presenting at Lewis-Sigler institute work from his group and RESCUER @YounessAzimzade @AlvaroKohn @freeges
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Excellent review from @mariangelaruss2 @BardelliLab discussing our current understanding of drug-tolerant persister cells in cancer. https://t.co/iBDEuhZMgs
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'Mechanisms that clear mutations drive field cancerization in mammary tissue' https://t.co/8L7BfInxu2
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Just on time for labor day weekend (for those of you State-side) @mathoncbro writes about mechanistic learning, the best of two worlds based on a paper by @jmetzcar @MathCancer @AlvaroKohn @Jutzeler_Cathy and Sara Bruningk: https://t.co/w2t0Gk0ViA
#MachineLearning #MathOnco
mathematical-oncology.org
The Mathematical Oncology Community Resource
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Excited to share the fruits of a new collaboration with @AguadeGuim and @ricard_sole on: Modeling tumors as complex ecosystems. This perspective is open access with almost 230 references - out now in @iScience_CP
https://t.co/eIXAHY3fiZ
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Oxford Mathematician and Fellow of @StJohnsOx Philip Maini has been awarded the Sylvester Medal by the @royalsociety for his contributions to mathematical biology. Pretty good teacher too. https://t.co/On8KkwubXl Photo: Robert Taylor/St John's
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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: https://t.co/cim0zqNqkg My summary: 🧵🧵🧵
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30 Essays to Make You Love Biology Day 1. "I should have loved biology" by James Somers. "It was only in college, when I read Douglas Hofstadter’s Gödel, Escher, Bach, that I came to understand cells as recursively self-modifying programs."
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Great first day at #ECMTB24 including interesting talks on integrating mechanistic models and machine learning in mathematical oncology by @guillelorenzogz and @SBruningk.
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Attended to the first session „mechanistic learning in mathematical oncology“ organised by @AlvaroKohn. Babis @M3sBiomath gave his talk on making clinical predictions without understanding everything. @ecmtb2024 #Toledo #math_onco
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Dear ECMTB2024 participants, The 13th Edition of the European Conference on Mathematical and Theoretical Biology https://t.co/YBMm9BXYCk is just around the corner so, before arriving in Toledo, we would like to give you some indications. 🧵(1/10)
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Read the article: Computational model predicts patient outcomes in Luminal B breast cancer treated with endocrine therapy and CDK4/6 inhibition. https://t.co/2uUkRVbyMu
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!
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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: https://t.co/RASvJNgCF4
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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. https://t.co/Rf1AAAKzdQ
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