A molecule that helps regulate gene activity has also been shown to drive skin cancer growth and tumors' ability to evade ...

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...

Vishal A. Patel, MD, explains that delayed skin cancer diagnoses contribute to more advanced disease and poorer outcomes in ...

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 ...

Abstract: This project aims to identify skin disorders and solve important diagnosis-related issues resulting from their varied appearances and slight variations usually resembling one another.

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social ...

Introduction: Early skin disease diagnosis is essential and one of the challenging tasks for a dermatologist. Manual diagnosis by healthcare providers is subjective, costly, and may yield inconsistent ...

Introduction: The rapid growth of the global population and intensive agricultural activities has posed serious environmental challenges. In response, there is an increasing demand for sustainable ...

aDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong, Special Administrative Region, China ...

Abstract: Among the most avoidable diseases on the planet is epidermal concerns. At any rate being normal, its research is quite difficult due to its intricate colors, hair is present, hiding. Early ...