Maximilian Strobl
@stroblmar
Postdoc in the Theory Division at the Cleveland Clinic, USA. Interested in using ecology, evolution and mathematics to improve cancer treatment scheduling.
ID: 795375550386896897
06-11-2016 21:21:23
434 Tweet
880 Followers
517 Following
We are on the cover of Cell Systems! Cool collaborative paper led by the brilliant Maximilian Strobl with Cancer Ecology and Evolution Lab: CEEL Philip Maini Robert Wenham Jeffrey West Jill Gallaher Mark R-T The Gatenby Lab. A special shout out Centre for Evolutionary Therapy for partially funding this project! IMO Moffitt Cancer Center
How can we use AI 🧠 to inform treatment scheduling - where data are limited and we need an understanding of *why* we’re proposing a specific strategy? The answer: integration with mechanistic mathematical models! Excited to share our new paper now out in Cancer Research!
Is our #mathonco modeling clinically relevant? Check our brand new paper Clinical Cancer Research describing a mathematical model that predicts outcomes in breast cancer patients treated with endocrine therapy and cdk4/6 inhibitors. aacrjournals.org/clincancerres/…
Here we see some patients benefit from adaptive therapy more than others, but can we predict which patients will benefit (and by how much) at the start of treatment? I'm presenting our latest work on this at #SMB2024 on Monday (July 1st)- 4pm in 221.2F SMB - Society for Mathematical Biology #mathonco
First presentation from #AndersonLab Philip Maini student at #SMB2024 by Kit Gallagher presenting new work on, Personalizing cancer treatment schedules by integrating mathematical modeling with patient data #KSMB IMO
.Maximilian Strobl combines preclinical experiments and mathematical models to better understand dynamics of resistant and sensitive cells to optimize treatments
SMB Math ONCO talks with Ray Zhang(UCI Math) and Maxi Strobl(Cleveland Clinic): Investigating glioblastoma with physics informed neural networks and models as a tool for drug scheduling in cancer treatment. #smb #ksmb KSMB-SMB2024
To learn more about the paper behind this awesome cover, check out Kit Gallagher tweetorial here: x.com/scikit_g/statu…
NCI Systems Biology #SysBio4CancerResearch: The best way to bring preclinical data to bear on clinical translation is the integration of mathematical models to interpolate or extrapolate these data, and to test & generate hypotheses about underlying biological mechanisms. A recent great example of
Using #MathematicalModeling & experimental approaches in a study funded by #NCICSBC & #PSON, Maximilian Strobl, Cancer Ecology and Evolution Lab: CEEL, Sandy Anderson, et al. revealed an effective dose-escalating #PARPinhibitor strategy for #OvarianCancer Cell Systems sciencedirect.com/science/articl…. #AdaptiveTherapy