Modern fluorescence microscopy can generate images of living cells as stunning to look at as they are informative to study. For techniques like fluorescence lifetime imaging microscopy (FLIM), those ...
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 ...
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 ...
US-DATA helps companies turn raw images, videos, audio and text into high-quality datasets for training, testing and improving AI models. NEW YORK, NY / ACCESS Newswire / May 21, 2026 / US-DATA, a ...
ANN ARBOR, MI — A University of Michigan Health center is using artificial intelligence to help plan treatments for prostate cancer. The UM Health Weiser Center for Prostate Cancer in Ann Arbor ...
For Rita Wilson, body positivity isn't all sunshine and rainbows. The actress and country music singer, who was diagnosed with breast cancer in 2015, opened up about how the health battle impacted her ...
Kevin Liu was diagnosed with acute lymphoblastic leukemia, which spread to his brain, in 2022. He documented his appearance throughout the journey by taking and posting photos of himself Kevin Liu ...
Share on Pinterest New research links a common pesticide to epigenetic changes that may relate to colorectal cancer. Image credit: Getty Images A new study suggests that environmental and lifestyle ...
EDITOR’S NOTE: This story was reported in collaboration with the Global Health Reporting Center with support from the Pulitzer Center. Vita Sara Blechner’s life changed on a Saturday afternoon. The ...
AstraZeneca isn’t letting a death in a China trial detract from the potential of its $1 billion in vivo bet, even as the candidate’s safety and efficacy profile have so far failed to separate it from ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...