REGISTRATION CLOSED ON AUGUST 30
We have reached capacity for the poster sessions and are no longer accepting abstracts.
Registration for the conference will close on August 30.
**Please note that registration is limited to 10 attendees for each U54 and 5 attendees for each U01.
**For abstract submissions, investigators will need to choose the category that best reflects their area of research. **
To help guide category selection for your abstract, we have provided some examples of relevant topics for each category below. Abstracts need not be limited to the provided examples:
Computational Approaches to Cancer
- Approaches to extracting key features from complex cancer data sets, including machine learning, deep learning, or AI, to develop predictive models for the progression and treatment of cancer.
- New computational models that describe tumor behaviors at multiple scales.
- Novel data integration approaches that derive mechanistic hypotheses.
- Computational approaches for design of therapeutic strategies and clinical trials.
Molecular Networks Driving Tumor Phenotype
- Development of systematic maps of molecular interactions and genetic dependency networks in cancer cells and tissues.
- Systems approaches to understanding aberrant cell signaling due to somatic mutation or non-genetic perturbation.
- Tools to quantitatively measure signal transduction or molecular interactions that alter tumor cell phenotype.
- Imaging-based approaches that report network activity or dysregulation in cancer.
Cellular and Extracellular Interactions in Tumor Evolution, Heterogeneity and Metastasis
- Physical science based approaches to model dynamics of cell-cell, cell-matrix, or cell-stroma interactions.
- Systematic analysis of the role of stromal and immune components in cancer initiation, progression, and metastasis.
- The role of the tumor microenvironment in informing mechanisms of tumor evolution and resulting tumor heterogeneity.
- Approaches that delineate the contribution of cell intrinsic versus cell extrinsic factors in drug resistance, heterogeneity, and metastasis.
- Systems analysis of cooperating cellular phenotypes in drug response and tumor progression.
Nuclear Structure and Function in Cancer Biology
- Systems biology or physical science based approaches for understanding the impact of non-coding RNAs, gene regulatory regions, and distinct transcriptional domains on cancer initiation, progression and metastasis.
- Quantitative studies of nuclear mechanics during normal and cancer cell processes, such as cell division, invasion, and metastasis.
- Studies focused on the role of small or long non-coding RNAs in gene regulation and chromatin configuration.
Translational Applications of Physical Oncology and Systems Biology
- Physical science and/or systems biology strategies that bring new and innovative therapeutic strategies, prognostic tools, and therapies to the clinic.
- Computational models of patient response and new and/or adaptive treatment regimes.
- New tools, devices, or resources for cancer diagnoses or long-term monitoring of indolent disease.
- In silico clinical trial design.
- Translational questions especially suited for a physical science or systems biology approach.
- The role and impact of patient advocates in cancer research.
- Tools, methods, data or other resources generated as part of the PS-ON and CSBC activities.
- Resources that could be of interest to the wider CSBC and PS-ON communities.
- Resources associated with education and outreach efforts.
Maximum poster dimensions: 36 inches high X 48 inches wide.