NLM Georgia Biomedical Informatics Course Introduction The National Library of Medicine (NLM), in partnership with Augusta University, offers the NLM Georgia Biomedical Informatics course. The Biomedical Informatics course offers participants a week-long immersive experience in biomedical...
(http://www.icmhi.org/) will be held in Taichung city, Taiwan during May 20-22, 2017 at Chung Shan Medical University.
Publication Accepted papers will be published in International Conference Proceedings Series by ACM indexed by Ei Compendex and Scopus. Excellent accepted paper will be published on one of the following journals: 1.
Funded by the NIH Big Data to Knowledge (BD2K) initiative (NIH R25 EB201381), Weill Cornell Medicine, the University of Minnesota, and Johns Hopkins University is jointly offering a “Big Data Coursework for Computational Medicine (BDC4CM)” research education program between July 10-13, 2017 in New York City.
BDC4CM will emphasize how to navigate the interface between research and clinical practice by offering participants in-depth lectures, case studies and hands-on training from leading big data researchers. Also, new for 2017, we will organize a datathon to solve a real-world health data-driven problem.
For additional information about the program and to apply, please visit: http://bdc4cm.org. The deadline for application submission is March 15, 2017.
At a ceremony in Barcelona today, EMBL and the Spanish government signed an agreement for a new EMBL site to be hosted in the city. EMBL Barcelona will be located on the campus of the Barcelona Biomedical Research Park (PRBB), and researchers at the site will explore how tissues and organs function and develop, and how preventing failures in those processes may help to tackle disease. Alongside cutting-edge research, the site will house state-of-the-art imaging facilities, making pioneering technologies available to scientists worldwide.
The incredible complexity of how biological systems interact to create tissue from the information contained in genes boggles the mind -- and drives the work of biomedical scientists around the world. Now, a pair of mathematicians has introduced a new way of thinking about these concepts that may help set the stage for better understanding of our bodies and other living things.
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