2020 - ISMCO 2020: 2nd International Symposium on Mathematical and Computational Oncology
Date2020-10-08 - 2020-10-10
Deadline2020-06-29
VenueSan Diego, CA, USA - United States
KeywordsOncology; Data Science; Mathematics
Websitehttps://www.ismco.net
Topics/Call fo Papers
• Multiscale advanced mathematical and computational models
• Precision medicine and immuno-oncology
• Spatio-temporal tumor modeling and simulation
• Tumor forecasting methods
• Molecular subtyping, survival analysis and prediction
• Novel experimental cultures
• Cancer genomics and proteomics
• Next-generation sequencing and single-cell analysis
• Systems biology and networks
• General cancer computational biology
• Computational methods for anticancer drug development
• Cancer epidemiology, biomarkers and prevention
• Statistical methods and data mining for cancer research
• Deep learning and machine learning for cancer research
• Big data analytics for cancer research
• High performance computing for cancer research
• Data intensive computing for cancer research
• Scalable and high throughput systems for large-scale cancer-data analytics
• Text analytics and natural language processing (NLP) for cancer research
• Automatic semantic annotation of medical content in the context of cancer disease
• Application of cloud computing, SaaS and PaaS architectures for cancer research
• Computer-aided diagnosis (CADx) systems for cancer research
• Computer vision, scientific visualization, and image processing for cancer research
• Robotics for cancer research
• Precision medicine and immuno-oncology
• Spatio-temporal tumor modeling and simulation
• Tumor forecasting methods
• Molecular subtyping, survival analysis and prediction
• Novel experimental cultures
• Cancer genomics and proteomics
• Next-generation sequencing and single-cell analysis
• Systems biology and networks
• General cancer computational biology
• Computational methods for anticancer drug development
• Cancer epidemiology, biomarkers and prevention
• Statistical methods and data mining for cancer research
• Deep learning and machine learning for cancer research
• Big data analytics for cancer research
• High performance computing for cancer research
• Data intensive computing for cancer research
• Scalable and high throughput systems for large-scale cancer-data analytics
• Text analytics and natural language processing (NLP) for cancer research
• Automatic semantic annotation of medical content in the context of cancer disease
• Application of cloud computing, SaaS and PaaS architectures for cancer research
• Computer-aided diagnosis (CADx) systems for cancer research
• Computer vision, scientific visualization, and image processing for cancer research
• Robotics for cancer research
Other CFPs
Last modified: 2020-02-18 07:23:16