In , Dr. A selected bibliography is available. You can learn more about Dr. Biomedical informatics and data science research develop methods and approaches to improve the capture, integration, management, analysis, visualization, retrieval, and use of biomedical and behavioral information and data relating to human health.
The Extramural Programs Division provides research support for both basic and applied research in these and related areas. To expand the biomedical workforce in the area of biomedical informatics and data science, NLM supports training in biomedical informatics at educational institutions throughout the U. These programs offer pre-doctoral and post-doctoral training for research careers in health care informatics, biomedical data science, translational informatics, clinical research informatics, public health informatics, and related areas.
In addition, individual pre-doctoral fellowships in biomedical informatics or data science are offered, as are career transition awards. Grants are also made to U.
Critical research areas include helping consumers visualize health data, data integration of large disparate data resources, artificial intelligence techniques for biomedical data resources, and the enhancement of biomedical data, including personal health data, to allow access to data for more than one user at the same time. The Extramural Programs Division has two unique programs to support developing information resources to help reduce health disparities and developing resources related to the history and philosophy of medicine and public health.
NLM is a leader in research training in biomedical informatics, computational biology, and data science. NLM supports pre-doctoral and post-doctoral trainees per year in biomedical informatics and data science in 16 university-based programs across the country.
These programs encourage applications from people traditionally underrepresented in biomedical informatics and research; eleven of the programs offer special short-term summer training to enhance recruitment. In FY , NLM partnered with the National Science Foundation to engage data science research experts with biomedical researchers studying and developing advanced analytical methods applied to health.
NLM uses multiple channels to reach the public, including consumer-friendly websites, direct contact, and community networks. NNLM also increases the data science capacity of research libraries and librarians to manage and analyze biomedical data.
OET coordinates training, engagement, and capacity-building on NLM offerings for priority stakeholders and the public. NLM conducts pioneering research to advance knowledge in biomedical informatics, computational biology, and data science. This research contributes to a deeper understanding of the effects of medications, procedures, and other factors that influence human health and the prevention and treatment of disease.
NLM produces tools that make discoveries and health data more understandable to patients and helps people access, store, use, and understand their own health data. NLM supports research in medical language processing, high-speed access to biomedical information, analysis and use of high-quality biomedical imaging data, and large-scale analysis of clinical and administrative data to predict patient outcomes.
Its work has validated findings from clinical research, helped locate and identify viruses that pose a threat to public health, and enhanced machine learning and image processing to screen for cervical cancer and assist in early treatment.
NLM produces analytic software tools for gaining insights about genetic mutational patterns and factors in disease, molecular binding, and protein structure and function. NLM also hosts postdoctoral research fellows who apply informatics science to research, education, and clinical care.
Congress established the Lister Hill Center for Biomedical Communications in to improve communication about health education, research, and practice. LHNCBC activities are centered on clinical data and aim to produce interoperable data, scalable methods, and translation of research discoveries into operations. LHNCBC has a long tradition of applying artificial intelligence techniques to clinical images for diagnostic or prognostic purposes.
Examples include identification of malaria parasites in blood smears, classification of chest X-rays for tuberculosis, and detection and staging of cervical cancer from uterine cervix photographs and histology images. Congress established the National Center for Biotechnology Information in as a division of NLM and as a national resource for molecular biology information.
Since then, NCBI has been a leading source for public biomedical databases, software tools for analyzing molecular and genomic data, and research in computational biology.
NCBI creates and maintains over 40 databases for the medical and scientific communities as well as the general public; these include literature, molecular, and genomic databases. Additional databases include information on chemical structures and their biological activities, protein sequences, protein structure, chromosomal aberrations in cancer, genes and gene expression, taxonomy, and more. The Office of Computer and Communications Systems provides information technology services and technical advice to support the research and management programs offered through NLM.
OCCS develops applications both for internal and public use—with specific expertise in developing software applications that use standardized medical terminology. Add it HERE! Still can't find the acronym definition you were looking for? Use our Power Search technology to look for more unique definitions from across the web! Search the web. Citation Use the citation options below to add these abbreviations to your bibliography.
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