Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...

Using medical datasets is also preferable because all patients who were treated for a particular cancer are analyzed. In ...

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...

Abstract: This research aims to propose a terahertz metamaterial-based absorber that can sense the alterations in the enclosing medium’s refractive index. The suggested layout comprises a pair of ...

Abstract: Proposed work implements ensemble-based deep learning methodologies for the classification of lung and colon cancer histopathology images. Leveraging the LC25000 dataset, consisting of ...

University of Teramo, Department of Bioscience and Technology for Food, Agriculture and Environment, Via Renato Balzarini 1, Teramo 64100, Italy ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ChatGPT learned language by gorging on the internet. In biology, however, ...