These AI tools are specifically tailored to address the unique challenges and opportunities within the healthcare industry, ranging from medical imaging and diagnostics to clinical decision support ...

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

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, ...