AI Tool Speeds Acute Myeloid Leukemia Diagnosis
A team of University of Florida Health researchers has developed a digital tool that uses artificial intelligence to accelerate the diagnosis of acute leukemias. The research was published in Nature Communications.
Acute myeloid leukemia, or AML, is a blood cancer originating in bone marrow and is often fatal. It’s one of the most common leukemias in adults and can progress quickly.
A team led by Jatinder Lamba, Ph.D., associate dean for research and graduate education and a professor of pharmacotherapy and translational research in the UF College of Pharmacy, developed the Acute Leukemia Methylome Atlas, or ALMA, by mapping specific tags in DNA referred to as methylation patterns across 3,300 leukemia samples.
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