Thirty-four patients were identified; initial biopsy specimens were adequate for classification in 32 patients. Four different composite histopathologic subtypes of lymphoma were identified: 53% (17 ...

For the first time, researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia (AML). Their ...

A phase I study of S-1 in combination with sorafenib in metastatic renal cell carcinoma (mRCC). Background: A new version of the TNM classification system for renal cell carcinoma (RCC) has been ...

Diagnosing blood disorders relies on a century-old method of using optical microscopes to analyze and classify samples of bone marrow cells. The method used to look for rare, but diagnostically ...