Stony Brook University, Biomedical Informatics

Advance biomedical knowledge through innovative data science research

The Department of Biomedical Informatics at Stony Brook University has a key role in delivering innovative informatics concepts and implementations to enhance scientific investigations and healthcare delivery as well as to train next generation of biomedical informatics researchers. The department drives the development of novel open source Biomedical Informatics concepts, methods, and tools through synergistic activities with biomedical researchers and healthcare teams at Stony Brook and elsewhere.

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Technologies

big data
apache spark
matlab
c++
hadoop

Topics

Science and Medicine
biomedical informatics
medical imaging
bioinformtics
big data
database

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Stony Brook University, Biomedical Informatics 2017 Projects

Andrejs Jurčenoks

Deep learning with open health data

Use machine learning frameworks - ConvNetJs, Tensor Flow, or now also Google Cloud Machine learning engine - to recognize or forecast clinic...
So Yeon Min

Development of a deep learning framework to discover personalized genomic medicine for lung and breast cancer

Development of a deep learning framework to discover personalized genomic medicine for lung and breast cancer I’d like to solve the above problem...
Lakshay Nagpal

RDMA-SparkGIS

Processing large amounts of spatial data involves a lot of overheads, higher latency, lower bandwidth, high processing time and a well defined...