Science Daily

AI identifies early risk patterns for skin cancer

A massive Swedish study shows that AI can spot people at higher risk of melanoma using routine health data. Advanced models ...

AI tool reveals rare cancer cells tied to faster disease progression

McGill University researchers have developed an artificial intelligence tool that can identify small groups of cells most ...

Machine learning accelerates analysis of fusion materials

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...
Medical Xpress

A machine learning model may enable liver cancer risk prediction with routine clinical information

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
IEEE

Development of a tongue image-based machine learning tool for the diagnosis of colorectal cancer: a prospective multicentre clinical cohort study

Abstract: Colorectal cancer (CRC) remains a persistent major global health burden, with traditional diagnostic methods like colonoscopy suffering from suboptimal patient compliance rates. This study ...
IEEE

Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning

Abstract: In this paper, we address a novel image restoration problem relevant to machine learning dataset curation: the detection and removal of noisy mirrored padding artifacts. While data ...