Developing mathematical models to better understand biochemical networks and identify drug therapies. Directed by Dr. Stacey Finley, Professor of BME @USC
Los Angeles, CA
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submit an abstract by Friday to present at #SACB2025! we are building on excellent meetings held bi-annually since 2016. this time, we’ll be at @CUAnschutz, a great location to connect and share our science.
Abstracts are due this Friday for #SACB2025! A great meeting for those who are employing systems approaches in cancer. We have an incredible array of speakers and a fantastic new location near Denver, Colorado.
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excited to give a talk in this virtual seminar series! join to hear our latest work in modeling the tumor-immune ecosystem!
Join us this Wednesday, October 2nd at 3pm EST for a #TissueTalk from @USC Prof. Stacey Finley @USCSysBio_Lab on "Exploring the tumor ecosystem: modeling across scales."
See you there: bit.ly/tissuetalks
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We have ONE MORE set of talks in the @SMB_MathBiology Diversity in Math Bio 2024 summer seminar series!
Tuesday, August 13 at 8:00 PDT / 11:00 EDT / 17:00 CEST.
Register to receive zoom info: tinyurl.com/SMB-Diversity-Su…
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Dr. Van Pham from University of South Florida will present “An extendible use of DNA tensegrity triangle model”
Dr. Alex Ochoa from Duke University will present “Models for diverse human genetic data”
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The 4th set of talks in the
@SMB_MathBiology Diversity in Math Bio seminar series will be Tuesday, July 30! 8:00 PDT / 11:00 EDT / 17:00 CEST
Get Zoom info: tinyurl.com/SMB-Diversity-Su…
Join to learn about the breadth of research and range of researchers in mathematical biology!
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A9: I am just starting to understand how important it is to engage patient advocates in #CancerResearch. I would love to see more conversations with patients, where we learn from each other and get inspired about impactful #SystemsBiology work. #SysBio4CancerResearch
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yes!! building on years of #SystemsBiology research!
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A7: modeling of adaptive therapy from Bob Gatenby @MoffittNews has already led to clinical trials showing good outcomes (doi.org/10.7554/eLife.76284) #SysBio4CancerResearch 2/2
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A7: tumors are constantly evolving and adapting to their environment. it is exciting to see #SystemsBiology models that exploit that evolution, leading to adaptive therapy. #SysBio4CancerResearch 1/2
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A6: such data-driven models provide a framework to test targeted treatment strategies. #SysBio4CancerResearch
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A6: for example, RNAseq data can be used to build genome-scale metabolic models (work from Melissa Kemp @CoulterBME: doi.org/10.1016/j.cels.2020.…) and to construct gene regulatory networks (doi.org/10.1038/s43588-024-0…). # SysBio4CancerResearch 2/2
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A6: the field of #SystemsBiology has generated lots of datasets that are useful for building mechanistic predictive models for #CancerResearch. modeling and data analysis tools allow us to leverage such data #SysBio4CancerResearch 1/2
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excited to join in part 2 of the #SysBio4CancerResearch chat!
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thanks for the quick #SystemsBiology discussion, packed with info!
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A4: we developed a novel method to ensure the agent-based model matches tumor images obtained experimentally doi.org/10.1371/journal.pcbi…. next, we can use the model to predict how metastatic breast tumors respond to immunotherapy #SysBio4CancerResearch 4/4
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A4: most recently, my group has been studying interactions between cancer cells and immune cells using an approach called “agent-based modeling”, where cells are individual agents that follow specific rules. #SysBio4CancerResearch 3/4
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A4: we previously showed how cancer cell metabolism is altered by other cells in the tumor, in collaboration with @MumenthalerSM @MathCancer and @ngraham. we can use that insight to target the specific metabolic reactions and block tumor growth. doi.org/10.1016/j.ymben.2021… 2/4
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A4: tumors are a complex ecosystem of interacting cells, and it is important to study how the cells affect one another and lead to tumor growth. it truly requires a #SystemsBiology approach! #SysBio4CancerResearch 1/4
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A3: systems-level studies in #CancerResearch require cancer biology, bioengineering, quantitative modeling, clinical care… the list goes on. a team with all this knowledge only happens through collaboration, allowing us to tackle big questions in cancer!#SysBio4CancerResearch
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A2: the model also predicts the effects of targeted therapy + chemotherapy. this work shows how mathematical modeling can help inform clinical decisions. #SysBio4CancerResearch 3/3
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