Seminar Participants
Center for Biomedical Informatics
The Harvard Medical School (HMS) Center for Biomedical Informatics (CBMI) is a research center within the Harvard Medical School that promotes and facilitates collaborative activities in biomedical informatics among researchers at Harvard Medical School and its affiliated institutions. In an era of biomedical knowledge overload, high-throughput biomedical data generation, increasing consumer access to biomedical information, and demands for real-time, information based public health, the CBMI was established to lead research and educational activities to meet these pressing national needs.
Laboratory for Personalized Medicine
The Laboratory for Personalized Medicine (LPM) is part of the Center for Biomedical Informatics (CBMI) at Harvard Medical School and was established, in 2008, by Peter Tonellato. The goal of the LPM is to focus on personalized medicine by creating preventative health care for individuals based on their specific medical, family, and genetic characteristics. This challenging task involves identifying and testing solutions to the pragmatic hurdles of integrating new molecular devices, genetic and proteomic data, and disease-focused knowledge to point-of-care practice. Success depends on our ability to implement systems that insure data integrity, can be easily updated, and are minimally disruptive to the current health care workflow.
i2b2
i2b2 (Informatics for Integrating Biology and the Bedside) is an NIH-funded National Center for Biomedical Computing based at Partners HealthCare System. The i2b2 Center is developing a scalable informatics framework that will bridge clinical research data and the vast data banks arising from basic science research in order to better understand the genetic bases of complex diseases. This knowledge will facilitate the design of targeted therapies for individual patients with diseases having genetic origins. The i2b2 is funded as a cooperative agreement with the National Institutes of Health.
Tokyo Medical and Dental University
The School of Biomedical Science, Tokyo Medical and Dental University (TMDU) and its PhD program aim to promote disease-directed research that fuses interdisciplinary areas. Our school is characterized by faculty members with heterogeneous backgrounds and expertise and a practical program for students to study subjects related to biomedical sciences and cutting-edge fields such as nanobiology, bioinformatics and chemical biology.
-TITECH-TMDU Joint Education Program-
Tokyo Institute of Technology (TITEC) and Tokyo Medical and Dental
University (TMDU) have been awarded a three year competitive educational grant from the JSPS 2009 program for Enhancing Systematic Education in Graduate Schools for the joint education program in translational biomedical informatics.
The joint education program aims for the production of double-major students capable of solving the translational biomedical issues, such as disease modeling, drug discovery and preventive health care, with cutting-edge computational technologies.
Laboratory for Clinical Research, Yokohama City University Graduate School of Medicine
Laboratory for Clinical Research (LCR), Yokohama City University Graduate School of Medicine (YCUGSM) is a laboratory to support translational and clinical research and trials to develop new drugs and innovative medical devices, promote personalized medicine, investigate novel approaches for designing clinical research and to develop investigators and supporting staffs who can lead and conduct international clinical trials. The laboratory is closely linked with the Advanced Medical Research Center which has established a bio-bank in YCU.
Bioinformatics Research Group, Tokyo Institute of Technology
The Bioinformatics Research Group aims for the creation of a new
Bioinformatics that views life as a system. The discipline is based on
non-linear systems theory, computational statistics, algorithm theory,
mathematical logic and high-performance computing technology. It seeks to develop studies for mathematical models of biological phenomena and carries out exhaustive data analysis on genomic sequences, transcription products, molecular structures, to name a few. In addition, the new field will cover issues not only in genome sciences but also in new trends of biology including systems biology and synthetic biology, both of which are in the systems level science and engineering in biology.