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

A full-stack medical analysis application that detects 23 different types of skin diseases using Deep Learning. This project consists of a React.js Frontend for the user interface and a Python Flask ...

Researchers at the University of Geneva (UNIGE), in collaboration with the Università della Svizzera Italiana (USI), have succeeded for the first time in determining the three-dimensional structure of ...

MediScan is an AI-powered project that predicts **skin diseases** from images using a deep learning model. It provides a modern web interface (Next.js) where users can upload an image and receive a ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

The nervous system does an astonishing job of tracking sensory information, and does so using signals that would drive many computer scientists insane: a noisy stream of activity spikes that may be ...

PARIS, Dec 15 (Reuters) - French farmers are protesting against government measures, including the culling of entire cattle herds, aimed at containing an outbreak of lumpy skin disease among livestock ...

Editor's note: Este artículo está traducido al español. The devastating wildfires in the Los Angeles area earlier this year inspired a trio of UNLV engineering students to design a device to detect ...

Washington, Nov. 25, 2025—The World Bank Board of Executive Directors today approved two projects in India that will benefit more than 6 million people by using innovative digital solutions to improve ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...