SLAS 2019 and SBI2 HCS/HCA Data and Informatics Special Interest Group (SIG)

The Society for Biomolecular Imaging and Informatics (SBI2, https://sbi2.org/ ) and SLAS will co-host the 2019 HCS/HCA Data and Informatics SIG on Wednesday, February 6th, 12 noon to 1:15 PM in the Washington DC Convention Center, Washington, DC.  

 

SIG Chair:

 

Paul A. Johnston Ph.D.

Associate Professor, Department of Pharmaceutical Sciences

School of Pharmacy, University of Pittsburgh

Pittsburgh, PA, USA.

 

The format will be a guided discussion of HCS/HCA Data and Informatics topics led by a discussion leader who will give a presentation to encourage the audience to engage and participate in a lively discussion.

 

Theme: “High-content imaging data coupled with computational modeling to expand our understanding of multicellular systems”

 

Discussion Leader:

 

Shannon Mumenthaler, Ph.D.

Assistant Professor of Medicine

 

Lawrence J. Ellison Institute for Transformative Medicine of USC

Laboratory Director, Center for Applied Molecular Medicine

Director, Stephenson Family Personalized Medicine Center

University of Southern California

Los Angeles, CA, USA.

 

Abstract:

 

It is imperative to capture the heterogeneity of multicellular systems across scales (of size and time) to achieve a deeper understanding of the underlying biology. Multicellular systems such as cancer suffer from immense complexity. In this SIG, we will discuss how recent technologies and approaches from the physical sciences have transformed traditional ways of measuring, interpreting, and treating patients with cancer. Mathematical models can have great utility in predicting cancer progression and treatment response when tightly integrated with reproducible, quantitative, and dynamic biological measurements achieved using high-content imaging and analysis. The convergence of the physical and biological sciences provides us with a new perspective on this complex adaptive system and the ability to more successfully intervene therapeutically.