Maximilian Strobl (@stroblmar) 's Twitter Profile
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

calendar_today06-11-2016 21:21:23

434 Tweet

880 Followers

517 Following

Maximilian Strobl (@stroblmar) 's Twitter Profile Photo

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!

Alvaro Köhn-Luque (@alvarokohn) 's Twitter Profile Photo

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/…

Kit Gallagher (@scikit_g) 's Twitter Profile Photo

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

Maximilian Strobl (@stroblmar) 's Twitter Profile Photo

Good morning #SMB2024! Want to learn more about the mathonco newsletter, our community-driven resource for everything #mathonco? Say hello during the meeting and pick up some cool stash 👉 mathematical-oncology.org

Good morning #SMB2024! Want to learn more about the mathonco newsletter, our community-driven resource for everything #mathonco? Say hello during the meeting and pick up some cool stash

👉 mathematical-oncology.org
Sandy Anderson (@ara_anderson) 's Twitter Profile Photo

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

First presentation from #AndersonLab <a href="/PhilipMaini/">Philip Maini</a>  student at #SMB2024 by <a href="/SciKit_G/">Kit Gallagher</a> presenting new work on, Personalizing cancer treatment schedules by integrating mathematical modeling with patient data #KSMB <a href="/mathonco/">IMO</a>
Jill Gallaher (@jillagal) 's Twitter Profile Photo

.Maximilian Strobl combines preclinical experiments and mathematical models to better understand dynamics of resistant and sensitive cells to optimize treatments

.<a href="/StroblMAR/">Maximilian Strobl</a> combines preclinical experiments and mathematical models to better understand dynamics of resistant and sensitive cells to optimize treatments
SMB - Society for Mathematical Biology (@smb_mathbiology) 's Twitter Profile Photo

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

SMB Math ONCO talks with Ray Zhang(<a href="/ucimath/">UCI Math</a>) and Maxi Strobl(<a href="/ClevelandClinic/">Cleveland Clinic</a>): Investigating glioblastoma with physics informed neural networks and models as a tool for drug scheduling in cancer treatment. #smb #ksmb <a href="/KSMB_SMB2024/">KSMB-SMB2024</a>
Jeff Maltas (@jeffmaltas) 's Twitter Profile Photo

Our recent PRX Life paper was selected as the very first journal cover and it looks great :) Past thread explaining why we're are just so excited about this result below:

Our recent <a href="/PRX_Life/">PRX Life</a> paper was selected as the very first journal cover and it looks great :)

Past thread explaining why we're are just so excited about this result below:
Jeffrey West (@mathoncbro) 's Twitter Profile Photo

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

<a href="/NCIsysbio/">NCI Systems Biology</a> #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 &amp; generate hypotheses about underlying biological mechanisms.

A recent great example of
Maximilian Strobl (@stroblmar) 's Twitter Profile Photo

Thanks for the shoutout! I fully agree. Models help us to better design and interpret our experiments and conversely experiments enable us to calibrate and advance our models. In short: Integration drives iteration drives progress!

NCI Systems Biology (@ncisysbio) 's Twitter Profile Photo

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

Using #MathematicalModeling &amp; experimental approaches in a study funded by #NCICSBC &amp; #PSON, <a href="/StroblMAR/">Maximilian Strobl</a>, <a href="/mehdiDamaghi/">Cancer Ecology and Evolution Lab: CEEL</a>, <a href="/ara_anderson/">Sandy Anderson</a>, et al. revealed an effective dose-escalating #PARPinhibitor strategy for #OvarianCancer <a href="/CellSystemsCP/">Cell Systems</a> sciencedirect.com/science/articl…. #AdaptiveTherapy