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”
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”
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”
The Open House Introducing the new Master of Science in Data Science degree has been changed to a VIRTUAL Open House.
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”
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”
#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.
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”
Three Magic Leap/mixed realty project ideas have been approved by the Magic Leap Leadership Council. The Office of the Provost has awarded the teams $10,000 each for projects that will harness Magic Leap technology to bolster learning or research. Beginning on January 1st, the proposed projects must be completed by April 30, 2020. The grant money may be used only to support students, purchase materials and supplies, and/or get technical support from mixed-reality software experts. Software support systems available to the project teams are (a) their own, (b) Center for Computational Science, (c) IT Innovate, or (d) Gordon Center. Read more “Magic Leap Projects to Bolster Learning & Research”