Personal Information
Organization / Workplace
Greater New York City Area, New York United States
Occupation
Chair Biomedical Informatics, Vice President Clinical Informatics
Industry
Education
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
pathology
high end computing
big data
deep learning
digital pathology
cancer research
pathology informatics
artificial intelligence
data analytics
precision medicine
tcga
data science
cancer
pathomics
hpc
sensor data
radiomics
exascale computing
radiology
exascale
genomics
genetics
convolutional neural networks
ctsa
machine learning
ai
actsi
health informatics
population health
translational medicine
bioinformatics
generative ai
electronic health record
cancer informatics
data
computer vision
informatics
gpu
whole slide images
in silico
software engineering
electronic health records
security
translational research
whole exome sequencing
microscopy
large scale data
image quantification
emory
brain tumor
grid
"omics"
sequencing
data analysis
image analysis
supercomputing
apache hadoop
clinical informatics
fda approval
imaging
national cancer institute
whole slide imaging
medicine
artificial intellegence
clusters
cloud
computer science
tumor infiltrating lymphocytes
ai interpretability
synthetic images
vision language models
latent diffusion
computational pathology
next generation sequencing
data warehouse
healthcare quality
health it
oil reservoir simulation
mini-app
oil reservoir modeling
quantitative imaging
radiogenomics
itcr
3d slicer
multiscale
stony brook
tools
computational cancer
targeted therapy
latent conditional diffusion
See more
Presentations
(33)Personal Information
Organization / Workplace
Greater New York City Area, New York United States
Occupation
Chair Biomedical Informatics, Vice President Clinical Informatics
Industry
Education
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
pathology
high end computing
big data
deep learning
digital pathology
cancer research
pathology informatics
artificial intelligence
data analytics
precision medicine
tcga
data science
cancer
pathomics
hpc
sensor data
radiomics
exascale computing
radiology
exascale
genomics
genetics
convolutional neural networks
ctsa
machine learning
ai
actsi
health informatics
population health
translational medicine
bioinformatics
generative ai
electronic health record
cancer informatics
data
computer vision
informatics
gpu
whole slide images
in silico
software engineering
electronic health records
security
translational research
whole exome sequencing
microscopy
large scale data
image quantification
emory
brain tumor
grid
"omics"
sequencing
data analysis
image analysis
supercomputing
apache hadoop
clinical informatics
fda approval
imaging
national cancer institute
whole slide imaging
medicine
artificial intellegence
clusters
cloud
computer science
tumor infiltrating lymphocytes
ai interpretability
synthetic images
vision language models
latent diffusion
computational pathology
next generation sequencing
data warehouse
healthcare quality
health it
oil reservoir simulation
mini-app
oil reservoir modeling
quantitative imaging
radiogenomics
itcr
3d slicer
multiscale
stony brook
tools
computational cancer
targeted therapy
latent conditional diffusion
See more