User profiles for Maximilian A. R. Strobl
 | Maximilian AR StroblPostdoctoral Research Fellow, Cleveland Clinic, USA Verified email at ccf.org Cited by 317 |
Turnover modulates the need for a cost of resistance in adaptive therapy
Tumor cell turnover modulates the speed of selection against drug resistance by amplifying
the effects of competition and resistance costs; as such, turnover is an important factor in …
the effects of competition and resistance costs; as such, turnover is an important factor in …
[HTML][HTML] Spatial structure impacts adaptive therapy by shaping intra-tumoral competition
Background Adaptive therapy aims to tackle cancer drug resistance by leveraging resource
competition between drug-sensitive and resistant cells. Here, we present a theoretical study …
competition between drug-sensitive and resistant cells. Here, we present a theoretical study …
[HTML][HTML] Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research
Background Avoidance to look others in the eye is a characteristic symptom of Autism
Spectrum Disorders (ASD), and it has been hypothesised that quantitative monitoring of gaze …
Spectrum Disorders (ASD), and it has been hypothesised that quantitative monitoring of gaze …
Drug dependence in cancer is exploitable by optimally constructed treatment holidays
…, ST Killarney, KR Singleton, MAR Strobl… - Nature Ecology & …, 2024 - nature.com
Cancers with acquired resistance to targeted therapy can become simultaneously dependent
on the presence of the targeted therapy drug for survival, suggesting that intermittent …
on the presence of the targeted therapy drug for survival, suggesting that intermittent …
[HTML][HTML] Mix and match: phenotypic coexistence as a key facilitator of cancer invasion
Invasion of healthy tissue is a defining feature of malignant tumours. Traditionally, invasion
is thought to be driven by cells that have acquired all the necessary traits to overcome the …
is thought to be driven by cells that have acquired all the necessary traits to overcome the …
[HTML][HTML] On simulated annealing phase transitions in phylogeny reconstruction
MAR Strobl, D Barker - Molecular phylogenetics and evolution, 2016 - Elsevier
Phylogeny reconstruction with global criteria is NP-complete or NP-hard, hence in general
requires a heuristic search. We investigate the powerful, physically inspired, general-purpose …
requires a heuristic search. We investigate the powerful, physically inspired, general-purpose …
Mix & Match: Phenotypic coexistence as a key facilitator of solid tumour invasion
Invasion of healthy tissue is a defining feature of malignant tumours. Traditionally, invasion
is thought to be driven by cells that have acquired all the necessary traits to overcome the …
is thought to be driven by cells that have acquired all the necessary traits to overcome the …
Abstract A023: Integrating mathematical modeling and in vitro experiments to measure ecological interactions in cancer
MAR Strobl, DS Tadele, J Maltas, R Barker-Clarke… - Cancer Research, 2024 - AACR
… Integrating mathematical modeling and in vitro experiments to measure ecological interactions
in cancer Maximilian Strobl, Dagim Tadele, Jeffrey Maltas, Rowan Barker-Clarke, Mina …
in cancer Maximilian Strobl, Dagim Tadele, Jeffrey Maltas, Rowan Barker-Clarke, Mina …
[HTML][HTML] Intermetastatic and Intrametastatic Heterogeneity Shapes Adaptive Therapy Cycling Dynamics
Multiscale mathematical modeling combined with biomarker dynamics during adaptive
therapy helps identify underlying features of metastatic cancer to inform treatment decisions. …
therapy helps identify underlying features of metastatic cancer to inform treatment decisions. …
Mathematical Model-Driven Deep Learning Enables Personalized Adaptive Therapy
… We adopt the 2-population Lotka–Volterra model introduced by Strobl et al. [23] (see schematic
in leftmost panel of Figure 1c), where S(t) is the number of sensitive cells, and R(t) is the …
in leftmost panel of Figure 1c), where S(t) is the number of sensitive cells, and R(t) is the …