August, 2017
Like all healthcare organizations, Montefiore faces complex challenges from government pressures to reduce costs and stringent regulatory guidelines to diverse patient populations and disruptive technologies. A focus and investment in precision medicine has brought the nation's and industry's attention to expanding the breadth of patient data in order to personalize treatment for individuals and historically underrepresented groups. Further, understanding patients requires information on a complex array of factors, some of which may not even be known during a clinical interaction, such as the home and work environment, nutrition, and genetics...
To read about their solution, see here
Many use cases for a Graph Database, like AllegroGraph, involve temporal events. In general, "Events" are modeled as objects that have a start time, end time, a type, some actors and a geospatial location. In this webinar we will explore the temporal aspects of events using a set of practical examples from healthcare, government intelligence, the world of finance, and real estate.
With Gruff v7.0os new "Time Slider" feature, these examples really come to life. Using Gruff, a semantic graph browser, we will visually demonstrate how graphs that are comprised of temporal events are constructed over time, allowing time machine like exploration of your data.
To register for this webcast, see here
The recently released Allegro CL version 10.1 has a number of enhancements relating to characters and to external formats. These enhancements include:
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See here for additional information
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Bohdan Khomtchouk, a fourth-year human genetics and genomics Ph.D candidate working in the Center for Therapeutic Innovation and the Department of Psychiatry and Behavioral Sciences at the University of Miami Miller School of Medicine, has spearheaded the publication of a high-impact review paper published in Briefings in Bioinformatics that was the subject of this year’s invited keynote speech at the European Lisp Symposium in Brussels, Belgium.
Khomtchouk is joined in authorship by his graduate advisor, Claes Wahlestedt, M.D., Ph.D., professor of psychiatry and behavioral sciences, associate dean for therapeutic innovation and director of the Center for Therapeutic Innovation at the Miller School; Edmund Weitz, Ph.D., professor of mathematics at the University of Applied Sciences in Hamburg, Germany; and Peter D. Karp, Ph.D., director of the Bioinformatics Research Group within the Artificial Intelligence Center at SRI International.
“Bioinformatics and computational biology software is dominated largely by higher-level languages like R and Python and lower-level languages like C and C++,” said Khomtchouk. “In our paper, we systematically review the advantages posed by a unique hybrid of languages, called the Lisp family of languages, that offer both high-level scripting and low-level performance capabilities not commonly seen in other languages.”
In bioinformatics and computational biology, Lisp has successfully been applied to research in systems biology, high-performance computing, database curation, drug discovery, computational chemistry and nanotechnology, network and pathway -omics analysis, single-nucleotide polymorphism analysis and RNA structure prediction...
Read more here
BECOME ALLEGRO CERTIFIED - To obtain your Allegro CL Certification enroll in our LIVE Program which offers developers an opportunity to learn and improve their Lisp programming skills from the comfort of their home or office while interacting with the Franz instructor.
Lisp Programming Series Level I: Basic Lisp Essentials - September 6, 13, and 20
Lisp Programming Series Level II: Specialized Components of Lisp - October 4, 11, and 18
For additional information and to register, see here.
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