News – Page 46 – Frost Institute for Data Science & Computing

Interventional Treatment of Incomplete Seal After Transcatheter or Surgical…

Transcatheter closure of the left atrial appendage (LAA) for stroke prevention has emerged as an alternative to systemic anticoagulation in patients with atrial fibrillation (AF) and increased stroke risk. Prophylactic occlusion or excision of the LAA during heart surgery in patients with AF has been performed for decades and may be considered in patients undergoing cardiac surgery. Read more “Interventional Treatment of Incomplete Seal After Transcatheter or Surgical Left Atrial Appendage Closure” →

Publications

Stigma, Biomarkers, and Algorithmic Bias: Recommendations for Precision Behavioral…

Effective implementation of artificial intelligence in behavioral healthcare delivery depends on overcoming challenges that are pronounced in this domain. Self and social stigma contribute to under-reported symptoms, and under-coding worsens ascertainment. Health disparities contribute to algorithmic bias. Read more “Stigma, Biomarkers, and Algorithmic Bias: Recommendations for Precision Behavioral Health with AI” →

Publications

Validation of Continuous Measure of Peer Social Interaction with…

Some of the ﬁrst empirical studies of child development involved collecting in vivo data to measure the aﬃliations of preschool children (Goodenough & Anderson, 1931). Little has changed in the intervening years. Expert observations remain the gold standard, underpinning the validity of child and teacher reports.

Publications

Role of Complex Networks for Integrating Medical Images and…

Human cancers exhibit phenotypic diversity that medical imaging can precisely and non-invasively detect. Multiple factors underlying innovations and progresses in the medical imaging field exert diagnostic and therapeutic impacts. Read more “Role of Complex Networks for Integrating Medical Images and Radiomic Features of Intracranial Ependymoma Patients in Response to Proton Radiotherapy” →

Publications

LINCS Data Portal 2.0: Next Generation Access Point for…

The Library of Integrated Network-Based Cellular Signatures (LINCS) is an NIH Common Fund program with the goal of generating a large-scale and comprehensive catalog of perturbation-response signatures by utilizing a diverse collection of perturbations across many model systems and assay types. The LINCS Data Portal (LDP) has been the primary access point for the compendium of LINCS data and has been widely utilized. Read more “LINCS Data Portal 2.0: Next Generation Access Point for Perturbation-Response Signatures” →

Events

Virtual Open House for new MS in Data Science…

The Open House Introducing the new Master of Science in Data Science degree has been changed to a VIRTUAL Open House.

RSVP to join the Webinar

Events

Mapping the Vernacular Symposium—POSTPONED

After careful consideration, the Mapping the Vernacular Symposium previously scheduled for April 17, 2020, at University of Miami, is POSTPONED due to statewide precautions for the COVID-19 Coronavirus, and the State of Florida’s public health emergency declaration. Read more “Mapping the Vernacular Symposium—POSTPONED” →

Publications

Long-Duration Waveform Descriptive Grammar for Consumer Electronics Design, Diagnosis,…

This paper describes a multi-timescale waveform descriptive grammar that assists researchers and engineers in syntactically labeling signals and developing test and control signals for consumer electronics design, diagnosis, and validation. Read more “Long-Duration Waveform Descriptive Grammar for Consumer Electronics Design, Diagnosis, and Validation” →

Events

PyData Miami Conference—POSTPONED

#PyDataMiami2020 has been postponed . . .

PyData is a 2-day conference on tools and techniques for machine learning, data analysis, visualization, and large-scale data infrastructure. We are an accessible, community-driven conference with talks and tutorials for all skill levels: students, practitioners, and researchers. PyData focuses on open-source computational tools for the Python programming language (such as NumPy, Pandas, and scikit-learn), as well as implementation-agnostic techniques, and other high level numerical languages, such as R and Julia.

Events

Catch the Replay: Data Intersections 2020 Videos

Catch the replay of Data Intersections 2020, and hear all the presentations and the panel discussion: Otavio Bueno, Heather Krause, Yeshimabeit Milner, Mike Monteiro, Panel Discussion with Ken Goodman. (share the playlist)
Read more “Catch the Replay: Data Intersections 2020 Videos” →