Like other cancers, there are many kinds of leukemia. The most common leukemias are four types, classified as chronic or acute, and myeloid or lymphoblastic (lymphocytic).

Chronic leukemias tend to develop over several years whereas acute leukemias are more aggressive and develop over months. Myeloid or lymphoblastic leukemia refer to the specific types of white blood cells involved in the leukemia.

In this database you will find an archive of open information related to Leukemia.

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Leukemia Background

Leukemia Background

Leukemia is a cancer of certain white blood cells, located in the bone marrow where the cells are generated. As the disease progresses, the leukemic white blood cells swamp out other healthy blood cells. The disease causes failure of the blood system. Every year, in the United States, over 60,000 new patients are diagnosed with leukemia. Over 24,000 patients die from leukemia annually.

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Acute Myeloid Leukemia: A general introduction

Acute Myeloid Leukemia: A general introduction

In this article our immunology and bioinformatics expert Salvatore Raieli, focuses on machine learning and deep learning in medical images diagnosis. The increase in available data, hardware capabilities and cloud computing are allowing a great development in the field, and medicine is benefiting from this revolution. Nowadays, many algorithms can be run in a personal computer or in cloud service, increasing the potential number of users and researchers.

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Medical image diagnosis in leukemia

Medical image diagnosis in leukemia

In this article our immunology and bioinformatics expert Salvatore Raieli, focuses on machine learning and deep learning in medical images diagnosis. The increase in available data, hardware capabilities and cloud computing are allowing a great development in the field, and medicine is benefiting from this revolution. Nowadays, many algorithms can be run in a personal computer or in cloud service, increasing the potential number of users and researchers.

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DBSCAN and Gaussian Mixtures with gene expression data for Acute Myeloid Leukemia

DBSCAN and Gaussian Mixtures with gene expression data for Acute Myeloid Leukemia

This tutorial is the continuation of Clustering techniques with Gene Expression Data for Acute Myeloid Leukemia where we discussed algorithm belonging to partitional clustering (k-means) and hierarchical clustering.

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