Machine Learning Approaches to Automated Flow Cytometry Diagnosis of Chronic Lymphocytic Leukemia

no code implementations • 20 Jul 2021 • Akum S. Kang, Loveleen C. Kang, Stephen M. Mastorides, Philip R. Foulis, Lauren A. Deland, Robert P. Seifert, Andrew A. Borkowski

Flow cytometry is a technique that measures multiple fluorescence and light scatter-associated parameters from individual cells as they flow a single file through an excitation light source.

BIG-bench Machine Learning Specificity

Lung and Colon Cancer Histopathological Image Dataset (LC25000)

4 code implementations • 16 Dec 2019 • Andrew A. Borkowski, Marilyn M. Bui, L. Brannon Thomas, Catherine P. Wilson, Lauren A. Deland, Stephen M. Mastorides

The field of Machine Learning, a subset of Artificial Intelligence, has led to remarkable advancements in many areas, including medicine.

BIG-bench Machine Learning

Apple Machine Learning Algorithms Successfully Detect Colon Cancer but Fail to Predict KRAS Mutation Status

no code implementations • 11 Dec 2018 • Andrew A. Borkowski, Catherine P. Wilson, Steven A. Borkowski, L. Brannon Thomas, Lauren A. Deland, Stephen M. Mastorides

The KRAS mutation is one of the most frequent molecular alterations seen in colon cancer and its presence can affect treatment selection.

Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung Cancer

1 code implementation • 24 Aug 2018 • Andrew A. Borkowski, Catherine P. Wilson, Steven A. Borkowski, Lauren A. Deland, Stephen M. Mastorides

Lung cancer continues to be a major healthcare challenge with high morbidity and mortality rates among both men and women worldwide.

BIG-bench Machine Learning