American Statistical Association New York City Metropolitan Area Chapter Memorial Sloan Kettering Cancer Center Department of Epidemiology and Biostatistics Biostatistics Seminar Series

We are in the midst of a data-driven revolution in the biomedical sciences. New imaging modalities, deep sequencing and mass-spectrometry lead to an explosion of data in molecular biology, medical research and clinical practice which is not graspable for single human experts any more. Machine learning gives us the capabilities to gain knowledge from these vast amounts of data and it hands us the tools to tackle a multitude of research questions.

The field of pathology is particularly exciting for statistical learning:

(i) it is the pivotal point in the clinical workflow to enable translational and personalized medicine,
(ii) the petabytes of data produced by just histopathology alone exceeds radiology 200 fold, and
(iii) even in the 21st century it is vastly a manual and qualitative science and hence pathology is on the brink of dramatic change.