Dr. Satya Sahoo aims to characterize the role of brain connectivity in neurological disorders such as epilepsy using integrative graph models and highly scalable computational techniques. Brain ...

The analysis of large biomedical image datasets remains a significant challenge. Whether dealing with high-resolution whole slide images (WSIs) of tissue samples or extensive volumetric data, ...

The central topics will cover basic data analytics methods applying the widely used data ... The syllabus also covers an overview of major biomedical "Big Data" areas. Students may implement their ...

A powerful new software platform is set to transform biomedical research by allowing scientists to conduct complex and customized data analyses without advanced programming skills. The web-based ...

The development of big data in the biomedical field provides new opportunities for innovative work to improve health outcomes. Big data is redefining healthcare, expanding capabilities in mining ...

The Biomedical Geospatial Analytics and Modeling ... computers optimized for multi-thread spatial data processing, geostatistical software, expertise with geospatial analytics tools, and an extensive ...

The Biomedical & Health Informatics doctoral ... Current faculty research projects include the analysis of clinical data for early markers of kidney disease, the use of big data technologies for ...

With the rapid advancement of artificial intelligence (AI), smart healthcare and digital health are entering a new era of ...

Their project, titled “Expanding Genomic Data Science Access via Cloud Computing and Dynamic Learning Modules,” focuses on multidisciplinary fields that leverage the statistical analysis of large ...

"This approach could fundamentally reinvent data analysis in biomedical research and beyond. By allowing researchers to conduct sophisticated analyses without requiring advanced programming skills ...