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Title:
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Author: Olivier Bodenreider
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Abstract:
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Biography of Speaker:
Olivier Bodenreider is a Staff Scientist in the Cognitive Science Branch of
the Lister Hill National Center for Biomedical Communications at the
U.S. National Library of Medicine. His research interests include
terminology, knowledge representation and ontology in the biomedical
domain, both from a theoretical perspective and in their application to
natural language understanding, reasoning, information visualization and
integration.
Dr. Bodenreider is a Fellow of the American College of Medical
Informatics. He received a M.D. degree from the University of Strasbourg,
France in 1990 and a Ph.D. in Medical Informatics from the University of
Nancy, France in 1993. Before joining NLM in 1996, he was an assistant
professor for Biostatistics and Medical Informatics at the University of
Nancy, France, Medical School. |
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Title: Functions of Intrinsically Disordered Proteins and Relationship with Human Disease Network
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Author: Zoran Obradovic
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Abstract:
About 10 years ago we developed the first prediction based method to show that thousands of proteins lack fixed structure or are disordered (or unfolded) under physiological conditions. In this talk we will first briefly present the initial and our more recent predictor rated as the best model in disorder category at the seventh critical assessment of structure prediction experiments (CASP7). Next, we will describe how we used this predictor to provide a leap jump in answering a challenging question of understanding relationship between protein disorder and protein function by discovering that 238 Swiss-Prot functional categories are strongly positively correlated with predicted long intrinsically disordered regions. We will also describe a text mining method that can help further characterizations by identifying PubMed publications with relevant protein-disorder related experimental evidence. Motivated by observed strong correlation between intrinsic disorder and molecular functions known to be involved in cancer, we performed a large scale analysis of intrinsic disorder in genes implicated in Human Disease Network. We found significant differences in disorder content distributions for genes related to 20 human disease classes. Prediction of Molecular Recognition Features (MoRFs) suggests that intrinsic disorder in disease genes is mainly involved in protein-protein interactions. Genes related to several classes of diseases were found to have significantly higher occurrence of alternative splicing (AS), and given that we found AS regions to be highly disordered, we conclude that intrinsic disorder, together with AS, likely plays an important role in these classes of diseases.
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Biography of Speaker:
Zoran Obradovic’s research interests focus on developing data mining and statistical learning methods for knowledge discovery at large databases. He has authored about 200 articles addressing data analysis challenges in bioinformatics, medical informatics and other domains. For example, Obradovic co-authored a number of “first of” informatics studies on protein disorder providing strong support for a hypothesis that intrinsic protein disorder lies at the basis of signaling, regulation, and control. He also served as the team leader for the best predictor in protein disorder category at the fifth, the sixth and the seventh Critical Assessments of Structure Prediction experiments (CASP). Obradovic is currently journal editorial board member at seven journals. He was track chair at seven and program committee member at about 40 informatics conferences. Last year Obradovic co-chaired 39th Symposium on the Interface of Statistics, Computing Science and Applications, ACM First International Workshop on Text Mining in Bioinformatics, and IEEE International Conference on Bioinformatics and Biomedicine. Currently he serves as the steering committee member of 2008 IEEE International Conference on Bioinformatics and Biomedicine and is the program chair of 2009 SIAM International Conference on Data Mining.
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Title: Telemedicine: Wearable Intelligent Sensors and Systems (WISS) for Mobile Healthcare
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Author: Yuan-Ting Zhang
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Abstract:
The steady-growing global market of medical devices and biosensors over the past
decade has brought a great deal of attention to the academia and industry everywhere
in the world. To meet the needs of those with the chronic diseases of aging, wearable
medical devices are becoming an important part of solution. In order to monitor
human health constantly without disturbing users’ normal daily activities, the ideal
wearable medical devices and biosensors should be designed to be so smart and
autonomous that they will be operable by any individuals from a child to an aged
person for their own health management, and to be so small that they will not affect
the appearance and function of the wearable carrier in which they are embedded. One
of major challenges is to develop new principle of physiologic measurements in
incorporation with effective bio-signal processing and medical information fusion
techniques enabling the design of small and smart wearable devices. We are currently
developing a series of wearable intelligent sensors and systems (WISS) with a body
sensor network (BSN) forming the communication infrastructure for telemedicine and
mobile healthcare. This talk will review some of the more recent developments in
these areas, highlight the evolving MINDS concepts of wearable design, and discuss
how the emerging wearable technologies can meet the growing demand for future
homecare and mobile health services. With the wearable cuffless blood pressure meter
as an example, the talk will also attempt a living proof on how the consumer personal
electronic devices can be used in creating innovative and high-value-added healthcare
products in a relatively short duration, which could rapidly open up a new product
sector for industry and offer great benefits for the society.
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Biography of Speaker:
Yuan-Ting Zhang received his Ph.D. from the
University of New Brunswick, Canada in 1990. He
is currently Director of the Joint Research Center
for Biomedical Engineering and the Founding Head
of the Division of Biomedical Engineering at the
Chinese University of Hong Kong. He also serves
as the Director of the Key Lab for Biomedical
Informatics and Health Engineering of the Chinese
Academy of Sciences, the Director of the SIAT
Institute of Biomedical and Health Engineering of
Chinese Academy of Science and the Chairman
(Adjunct) of the Department of Biomedical
Engineering at Sun Yat-Sen Medical School,
Guangzhou, China. Dr. Zhang was a Research
Associate and Adjunct Assistant Professor at the
University of Calgary, Canada from 1989 to 1994.
He chaired the Biomedical Division of Hong Kong
Institution of Engineers in 1996/97 and 2000/01.
Dr. Zhang was the Technical Program Chair of the
20th IEEE-EMBS Annual Int’l Conference in 1998
and the General Conference Chair of the 27th
IEEE-EMBS Annual Int’l Conference in 2005. He
was elected as an AdCom member in 1999 and
served as Vice-President (Conferences) of
IEEE-EMBS in 2000. He was a Founding Co-Chair
of IEEE-EMBS Summer School on Medical
Devices and Biosensors. He has served as Associate
Editor for IEEE Trans. on Biomedical Engineering
and IEEE Trans. on Mobile Computing. He was
also the Guest Editor of IEEE Communication
Magazine and IEEE Trans. on Information
Technology in Biomedicine. He is currently on the
Editorial Board of the Book Series of Biomedical
Engineering published by the IEEE press, the
IEEE-EMBS Technical Committee of Wearable
Systems and Sensors, and an Editorial Board
Member of the Journal of China Medical Device
Information. Dr. Zhang has been selected to serve
as the Editor-in-Chief for IEEE Trans. on
Information Technology in Biomedicine since 2008.
Dr. Zhang’s research interests include neural
engineering, wearable medical devices, and body
sensor networks particularly for mobile health and
telemedicine. He has published more than 300
scientific articles in the area of biomedical
engineering and filed over 15 patent applications.
Dr. Zhang and his team received more than 30
awards and recognitions which include the Fellow
of International Academy of Medical and Biological
Engineering, IEEE Fellow, AIMBE Fellow, and the
recipient of 2006 Distinguished Service Award of
IEEE-EMBS. |
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