Doctor's Degree in Biomedical Informatics at Stanford University |
Stanford University
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Stanford University is a Private not-for-profit, 4-year or above Research Universities (very high research activity) with 19,782 students in Stanford, CA.
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This school offers the following degree levels:
Bachelor degree, Masters degree, Certificates/Post-Master's Certificate, Doctor's degree, First-Professional degree |
| Also, students of this school are eligible for federal aid such as Pell Grants and Direct Loans from the US Department of Education. |
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Stanford University. |
Mission:
From the Stanford University Founding Grant, November 11, 1885:
...the Nature, Object, and Purposes of the Institution Hereby Founded, to Be:
Its nature, that of a university with such seminaries of learning as shall make it of the highest grade, including mechanical institutes, museums, galleries of art, laboratories, and conservatories, together with all things necessary for the study of agriculture in all its branches, and for mechanical training, and the studies and exercises directed to the cultivation and enlargement of the mind:
Its object, to qualify its students for personal success, and direct usefulness in life;
And its purposes, to promote the public welfare by exercising an influence in behalf of humanity and civilization, teaching the blessings of liberty regulated by law, and inculcating love and reverence for the great principles of government as derived from the inalienable rights of man to life, liberty, and the pursuit of happiness. |
Stanford University
Doctor's degree
Biomedical Informatics
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The mission of the Biomedical Informatics training program is to provide graduate training in the application of information technologies to problems in biomedical research. The focus of the training is on the development, validation and application of novel methods for capturing, representing, storing, retrieving, visualizing and analyzing biomedical data and knowledge. Trainees learn to work and communicate effectively at the intersection of contributing disciplines, including biology, medicine, computer science, probability and statistics, and the decision sciences. Trainees are expected to understand the ethical, legal and social implications of the technologies they use. The Biomedical Informatics (BMI) program was founded in 1982 and broadly encompasses bioinformatics and clinical informatics. We offer diverse programs for students interested in education in the development of novel informatics methodologies with applications spanning the full range of biomedicine.
Candidates in the BMI program may focus on research in any aspect of information management and analysis along the biomedical research pipeline. They are united in their interest in using information technology to manage, analyze and understand biomedical data, and in developing new approaches to using information to improve health care. Specific areas of investigation include: decision-support systems, knowledge acquisition, medical records, computational biology, biological sequence analysis, biological 3D structure representation, pharmacogenetics, pharmacogenomics, genomics, collaborative technologies, network-based representation and retrieval of biomedical information and literature, medical imaging, reasoning under uncertainty, controlled terminologies for medicine and biology, technology assessment, and health-services research. The course of study requires training in the informatics methods used to represent knowledge and develop models, the computer science (CS) to implement these representations and models, and the specialized biomedical domain knowledge necessary to identify and make impact upon important problems. Towards this end, students must take courses in 1) mathematics/CS which provide fundamental understanding of how knowledge is represented mathematically and how models are developed, 2) CS/biomedical informatics which develop understanding of how models are implemented and the technical requirements of the medium, e.g., programming languages, machine architectures, databases and algorithms, 3) complete courses in the bioscience curriculum that gives them deep understanding of some area of biology or medicine, and 4) classes in social policy and ethics which examine the societal impact of new technologies.
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Stanford University.
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