Gastric cancer remains one of the leading causes of cancer-related mortality worldwide, primarily due to late-stage diagnosis ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...

A team led by Raju Tomer, professor of biological sciences at Columbia University, has created a new design for microscopes ...

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

Blood tests have proved to be a promising tool for detecting and monitoring cancer. Researchers at Chalmers University of Technology and the University of Gothenburg, Sweden, have now developed a new ...