In the era of data science, covering data process and standardization, algorithm and tool development, statistics, machine learning and related approaches new opportunities for dealing with the amazing data growth rate are critical. This coupled with new technologies leads to advances in health and biomedical research. The 2019 conference on Intelligent Biology and Medicine will be held June 9-11 in Columbus, Ohio, led by a stellar field of keynote speakers to address themes of omics- and data-based systems, translational science and personalized medicine. The conference promotes extensive interaction and provides opportunities for junior faculty and students to participate and learn.

The mission of the International Conference on Intelligent Biology and Medicine (ICIBM) is to promote information science, technology, and education to a great variety of trainees and young investigators, including trainees, faculty, teachers, scientists, and engineers, and to provide a forum for the cross-fertilization of ideas. ICIBM will provide a forum to accelerate data science method development and application, to explore complex and dynamic functions and regulation in cellular systems and organisms, and to improve algorithms, deep learning, computational tools, knowledgebase, and biotechniques for better diagnosis, prevention, and treatment of diseases. ICIBM 2019 conference programs will include four distinguished keynote speakers, four eminent scholars' talks, four tutorial and workshop sessions, scientific presentations, a poster session, and other activities. Top manuscripts will be selected for special journal issues.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Agency
National Science Foundation (NSF)
Institute
Division of Information and Intelligent Systems (IIS)
Type
Standard Grant (Standard)
Application #
1902617
Program Officer
Sylvia Spengler
Project Start
Project End
Budget Start
2019-04-01
Budget End
2020-03-31
Support Year
Fiscal Year
2019
Total Cost
$17,950
Indirect Cost
Name
The University of Texas Health Science Center at Houston
Department
Type
DUNS #
City
Houston
State
TX
Country
United States
Zip Code
77030