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alliedacademies CANCER STEM CELLS AND
ONCOLOGY RESEARCH
11th International Conference on
J u n e 1 1 - 1 3 , 2 0 1 8 | D u b l i n , I r e l a n d
Journal of Medical Oncology and Therapeutics | Volume 3
Page 34
The identificationofCancerStemCells(CSC)orbettercancer initiating
cells (CIC) as therapeutic targets is of pivotal importance to limit
the progression, recurrence and metastasis of cancer. This requires the
understanding of the residence of CSC/CIC in their tissue environment
with contextual information on their spatial connectivity with many
different surrounding structures. Advanced tissue diagnostic including
multiplexing immunohistochemistry and the integration of all available
data has become key to predict the response to treatment and can be
used to target CSC/CIC . With the ability to combine cognitive learning
technologies with sophisticated analytics assessing the tumor-forming
cells, its environment and immune cells including its spatial relationship,
image analysis can identify complex and meaningful signatures that
incorporate new knowledge into existing (empirical) wisdom to better
predict patient response. Artificial intelligence and machine learning
applied to image analysis offer an automated solution using quantitative
measurements of unique cellular features to objectively and accurately
assess a patient’s tumor composition. The improved and increased use
of immunotherapies (alone or in combination) to target CSC/CIC will be
a result of the automation of contextual cell identification, cell counting
and algorithm application to deal with n-dimensional complexity of
different stem cell compartments.
Biography
Ralf Huss joined Definiens in 2013 and has
more than 20 years of training and experience
in histopathology and cancer research. He also
co-founded the biotech company APCETH. He
has published more than 100 papers, and has
worked with the Nobel Laureates Rolf Zinkerna-
gel and E. Donnell Thomas.
IDENTIFICATION OF CANCER
STEM CELL (CSC) IN ITS
SPATIAL CONTEXT AND IMMUNE
ENVIRONMENT THROUGH THE
APPLICATION OF COGNITIVE AND
MACHINE LEARNING
Ralf Huss
Definiens, Germany
Ralf Huss, J Med Oncl Ther 2018, Volume 3