Dr. Stacey Finley (USC Systems Bio Lab) (@uscsysbio_lab) 's Twitter Profile
Dr. Stacey Finley (USC Systems Bio Lab)

@uscsysbio_lab

Developing mathematical models to better understand biochemical networks and identify drug therapies. Directed by Dr. Stacey Finley, Professor of BME @USC

ID: 2993630820

linkhttp://csbl.usc.edu calendar_today23-01-2015 17:52:57

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Daniel A. Cruz (he/him) (@dcruz_mathbio) 's Twitter Profile Photo

Dr. Gandhi will talk about "Characterizing morphology transitions in biological systems with approximate symmetry" and Maisha will talk about "Multihost Pathogen Creates Ecological Links Between its Hosts and Influences Host Population Dynamics". We hope that you can join us!

Jeffrey West (@mathoncbro) 's Twitter Profile Photo

@NCIsysbio #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

@NCIsysbio #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
Jeffrey West (@mathoncbro) 's Twitter Profile Photo

@NCIsysbio #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 great example of this

@NCIsysbio #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 great example of this
Jeffrey West (@mathoncbro) 's Twitter Profile Photo

@NCIsysbio #SysBio4CancerResearch: Mathematical modeling has made a significant recent impact in the design of treatment scheduling protocols that are evolution-based strategies to mitigate the evolution of resistance. But there is still many unanswered questions, and #MathOnco or

@NCIsysbio #SysBio4CancerResearch: 

Mathematical modeling has made a significant recent impact in the design of treatment scheduling protocols that are evolution-based strategies to mitigate the evolution of resistance. 

But there is still many unanswered questions, and #MathOnco or
Dr. Claire McCarthy (she/her) (@cemccarthy02) 's Twitter Profile Photo

@NCIsysbio A8: I also think there may be opportunities for more translational #SystemsBiology initiatives like ARPA-H ADAPT, which aims to harness advanced technologies and a deep understanding of tumor biology to build cancer #biomarkers. arpa-h.gov/research-and-f… #SysBio4CancerResearch

Jeffrey West (@mathoncbro) 's Twitter Profile Photo

@NCIsysbio #SysBio4CancerResearch: Another important future direction is the integration of AI/ML approaches with mechanistic modeling. Combining highly predictive black-box approaches with parameterized math models to gain mechanistic insight into that black-box:

@NCIsysbio #SysBio4CancerResearch: 

Another important future direction is the integration of AI/ML approaches with mechanistic modeling. 

Combining highly predictive black-box approaches with parameterized math models to gain mechanistic insight into that black-box:
Dr. Stacey Finley (USC Systems Bio Lab) (@uscsysbio_lab) 's Twitter Profile Photo

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 CU Anschutz Medical Campus, a great location to connect and share our science.