Abstract: The current monkeypox virus outbreak has brought attention to the necessity of quick and accurate diagnostic techniques, particularly in settings with limited resources. This work ...

Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Abstract: Based on the VGG-19 convolutional neural network for the timely identification of skin cancer, this research presents a novel methodology, using images derived from the ISIC archive ...

Douglas Grossman, MD, Ph.D., co-leader of the Melanoma Center at Huntsman Cancer Institute at the University of Utah (the U) ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...