
Machine learning helps diagnose leukemia
Researchers at the University of Bonn show how artificial intelligence improves the evaluation of blood analysis data.
Researchers at the University of Bonn show how artificial intelligence improves the evaluation of blood analysis data.
Artificial intelligence can detect one of the most common forms of blood cancer—acute myeloid leukemia (AML)—with high reliability.
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Like real bone, the material has a 3D mineral structure populated with living cells, providing a unique model to study bone function, diseases, regeneration.
Engineers have created biosensor technology with a wireless connection to smartphones that will enable a new wave of personal health.
An artificial intelligence approach created at the University of North Carolina at Chapel Hill can teach itself to design new drug molecules from scratch.