Ohio State University leukemia researcher Dr. Clara D. Bloomfield is among a small group of cancer clinicians who helped revise the World Health Organization’s classification of leukemias and ...

Assessing Algorithmic Fairness With a Multimodal Artificial Intelligence Model in Men of African and Non-African Origin on NRG Oncology Prostate Cancer Phase III Trials Recent advances in machine ...

Disparities in Biomarker Testing and Clinical Trial Enrollment Among Patients With Lung, Breast, or Colorectal Cancers in the United States Most cases of pediatric acute leukemia occur in low- and ...

New research means more than 90 percent of the most common cases of childhood cancer can now be classified by subtype, an advance likely to fuel precision medicine. Like cartographers completing a map ...

Researchers at Dana-Farber Cancer Institute have developed a groundbreaking diagnostic tool that could transform the way acute leukemia is identified and treated. The tool, called MARLIN (Methylation- ...

Unlock the potential for faster, more comprehensive leukemia characterization with this webinar from Dana-Farber Cancer Institute expert Salvatore Benfatto. Acute leukemia (AL) is an aggressive form ...

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 ...

Results from a study conducted by St. Jude Children's Research Hospital and the Munich Leukemia Laboratory were presented today as a late-breaking abstract at the American Society of Hematology annual ...

BOSTON, September 22, 2025 — Researchers at Dana-Farber Cancer Institute have developed a groundbreaking diagnostic tool that could transform the way acute leukemia is identified and treated. The tool ...

Like cartographers completing a map, investigators have identified multiple new subtypes of the most common childhood cancer--research that will likely improve the diagnosis and treatment of high-risk ...