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Organization / Workplace
Greater New York City Area, New York United States
Occupation
Chair Biomedical Informatics, Vice President Clinical Informatics
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About
Dr. Saltz is a leader in research on advanced information technologies for large scale data science, biomedical, scientific and engineering research. Dr. Saltz data science research portfolio includes an extensive history of funded work in many areas including medicine, remote sensing data analytics, petroleum and aerospace. He has developed innovative Pathology informatics methods including the first published whole slide virtual microscope system, pioneering Pathology machine learning techniques and methods for decomposing Pathology images into features and linking those features to cancer “omics”, response to treatment and outcome. Dr. Saltz broke new ground in data science thro...
Tags
biomedical informatics
high end computing
pathology
big data
deep learning
digital pathology
cancer research
pathology informatics
artificial intelligence
data analytics
precision medicine
data science
pathomics
tcga
cancer
hpc
machine learning
convolutional neural networks
radiomics
exascale computing
radiology
exascale
genomics
genetics
ctsa
informatics
sensor data
translational medicine
population health
health informatics
bioinformatics
electronic health record
cancer informatics
gpu
data
actsi
computer vision
tumor infiltrating lymphocytes
computer science
cloud
clusters
ai
artificial intellegence
whole slide images
medicine
whole slide imaging
national cancer institute
imaging
fda approval
clinical informatics
targeted therapy
computational cancer
tools
stony brook
multiscale
3d slicer
itcr
radiogenomics
quantitative imaging
oil reservoir modeling
mini-app
oil reservoir simulation
health it
healthcare quality
data warehouse
next generation sequencing
software engineering
electronic health records
security
data analysis
supercomputing
apache hadoop
image quantification
large scale data
in silico
whole exome sequencing
microscopy
emory
brain tumor
"omics"
image analysis
sequencing
grid
translational research
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