Enrico Capobianco – Frost Institute for Data Science & Computing

Inference From Complex Networks: Role of Symmetry and Applicability…

Symmetry is a mathematical concept only partially explored in networks, especially at the applicative level. One reason is a certain lack of interpretable inference obtained from networks. While the network systemic associations (links) between entities (nodes) emerge from the underlying dependence structure, this latter is only partially explicit via the established direct interactors and remains to a certain extent latent (distant node predicted paths). Read more “Inference From Complex Networks: Role of Symmetry and Applicability to Images” →

Publications

Frontiers Editorial on Research Topic: Trends in Digital Medicine

Frontiers Digital Medicine Journal’s Editorial on Trends in Digital Medicine provided a series of contributed papers covering a variety of aspects currently defining the digital paradigm. Among the factors that were considered central to this Research Topic, a few were: Read more “Frontiers Editorial on Research Topic: Trends in Digital Medicine” →

Publications

Imprecise Data and Their Impact on Translational Research in…

The medical field expects from big data essentially two main results: the ability to build predictive models and the possibility of applying them to obtain accurate patient risk profiles and/or health trajectories. Read more “Imprecise Data and Their Impact on Translational Research in Medicine” →

Publications

From Medical Imaging to Radiomics: Role of Data Science…

Abstract Treating disease according to precision health requires the individualization of therapeutic solutions as a cardinal step that is part of a process that typically depends on multiple factors. Read more “From Medical Imaging to Radiomics: Role of Data Science for Advancing Precision Health” →

Publications

Imaging Tumor Oxidative Stress with Surface Enhanced Raman Scattering…

Diabetes is a disorder traditionally subdivided into two types. Type 2 diabetes (T2D) is a chronic condition that affects how our body metabolizes sugar or glucose, inducing either resistance to the effects of insulin, or lack of its production in a way sufficient to maintain normal glucose levels. Read more “Imaging Tumor Oxidative Stress with Surface Enhanced Raman Scattering Gold Nanoparticles” →

Publications

Enrico Capobianco Receives 2 Grants for Bioinformatics Research

Congratulations to Enrico Capobianco, PhD, Lead Senior Bioinformatics Scientist for CCS’s Computational Biology & Bioinformatics program, on receiving two grants. One NIH award with Dr. Jianning Wei of FAU, and the other an NSF award with Dr. Jun Deng of Yale University. Read more “Enrico Capobianco Receives 2 Grants for Bioinformatics Research” →

News

Enrico Capobianco Receives 2 Grants for Disease Research

Congratulations to Enrico Capobianco, PhD, Lead Senior Bioinformatics Scientist for CCS’s Computational Biology & Bioinformatics program, on receiving grants from NIH and NSF. Read more “Enrico Capobianco Receives 2 Grants for Disease Research” →

Publications

Data-Driven Clinical Decision Processes: It’s Time

Changes and transformations enabled by Big Data have direct effects on Translational Medicine. At one end, superior precision is expected from a more data-intensive and individualized medicine, thus accelerating scientific discovery and innovation (in diagnosis, therapy, disease management, etc.). Read more “Data-Driven Clinical Decision Processes: It’s Time” →

Events - Past

BBSR Precision Oncology Workshop 2/26/2018

Many of the current developments in Precision Oncology refer to the major role played by data. Big data resources (DB, repositories, biobanks, etc.) and novel data types combine in integrative experimental research settings presenting a variety of complexities. These require nextgen computational tools to be derived from the emerging data science field. Read more “BBSR Precision Oncology Workshop 2/26/2018” →

Publications

Ensemble Modeling Approach Targeting Heterogeneous RNA-Seq Data

By accessing The Cancer Genome Atlas (TCGA) Dr. Capobianco and his team built the wide-spectrum transcriptome landscape of skin cutaneous melanoma (SKCM) from 103 primary tumor samples. They measured the expression levels of protein coding genes and non-coding RNAs (ncRNAs). Read more “Ensemble Modeling Approach Targeting Heterogeneous RNA-Seq Data” →

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