About me
Researcher
Research lab: Haifa Research Lab
Papers:
- Modeling the Mashup Space (WIDM 2008): http://www.cs.tau.ac.il/~milo/MU/widm08.pdf
- MatchUp: Autocompletion for Mashups (accepted to ICDE 2009)
Current research areas:
- Data management over the web using state-of-the-art concepts and technologies (Mashups, etc.) - joint work with my instructor Prof. Tova Milo (Tel-Aviv University), Neoklis (alkis) Polyzotis (University of California, Santa Cruz) and Prof. Serge Abiteboul (INRIA)
- Patient-centric Healthcare systems and Patient Empowerment
- Health 2.0
- Healthcare Analytics
Projects I took part in:
- STEM (Spatiotemporal Epidemiological Modeler):
The Spatiotemporal Epidemiological Modeler (STEM) tool is designed to help scientists and public health officials create and use spatial and temporal models of emerging infectious diseases. These models could aid in understanding, and potentially preventing, the spread of such diseases.
Policymakers responsible for creating strategies to contain diseases and prevent epidemics need an accurate understanding of disease dynamics and the likely outcomes of preventive actions. In an increasingly connected world with extremely efficient global transportation links, the vectors of infection can be quite complex. STEM facilitates the development of advanced mathematical models, the creation of flexible models involving multiple populations (species) and interactions between diseases, and a better understanding of epidemiology.
STEM was contributed by IBM Research Labs to the Open Healthcare Framework (OHF) of Eclipse - the opensource community of healthcare.
Link: http://www.eclipse.org/ohf/components/stem/
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- Clinical Genomics and Personalized Medicine:
The CGL7 project stemmed from our research collaboration with Hadassah University Hospital and started when an IBM Shared University Research grant was approved for the Tissue Typing Lab and Bone-Marrow Transplantation Center in Hadassah. At the same time, the HL7 Clinical Genomics specifications reached an approval level as a Draft Standard for Trial Use (DSTU) in May 2005 and should be approved as an ANSI DSTU in the near future. This approval level encourages leading organizations around the world, like HPCGG, to experimentally use the HL7 specification and integrate the CGL7 services that implement the specifications.
To date, we have a working prototype that retrieves an HL7 message with the patient's data and enriches the message by populating the genotype-phenotype associations.
The project is led by Amnon Shabo (Shvo).
Links:
Presentation in the ECCB '06 (European Conference on Computational Biology) and at the Israel Innovation Summit conference (http://www.israelinnovationsummit.com/)
Last updated 16 Dec 2008